Find Your Dream Aws Job in India

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Role Overview

We are hiring a Senior DevOps / Platform Engineer to own and scale the core infrastructure of a high-growth, AI-driven SaaS platform. This role is responsible for building systems that remain stable, secure, and cost-efficient under sustained high load.

You will design and operate cloud platforms supporting 10,000+ concurrent users, AI agents, asynchronous workflows, high-throughput event processing, and frontend-heavy Next.js applications. This is a production-first role with full ownership of platform reliability.

What will you own

• End-to-end cloud and platform infrastructure
• AWS EKS-based Kubernetes clusters
• Highly available systems powering
• AI chat services
• Agent execution engines
• Orchestration and workflow layers
• Credit system and backend APIs
• Event-driven and cache-heavy workloads using Kafka, Zookeeper, Redis
• Hybrid environments combining Kubernetes and VM-based services
• Infrastructure support for frontend and API workloads, including SSR-based Next.js applications and real-time API traffic
• Platform scalability, uptime, and operational efficiency
• Secure configuration and secrets management across environments

You are accountable for ensuring the platform performs reliably at scale.

Key Responsibilities

• Design, deploy, and operate AWS cloud infrastructure
• Own Kubernetes clusters on EKS, including upgrades, lifecycle management, and ingress/traffic routing
• Implement scaling strategies using:
• Auto-scaling
• Load balancing
• Capacity planning
• Ensure platform resilience through:
• High availability design
• Fault isolation
• Disaster recovery readiness
• Support production workloads involving:
• Long-running jobs
• High-frequency events
• Asynchronous processing
• Frontend-heavy SSR applications and APIs
• Build and maintain CI/CD pipelines across environments
• Enforce clear separation between development, staging, and production
• Establish strong observability through:
• Metrics using Prometheus
• Dashboards using Grafana
• Infrastructure monitoring using AWS CloudWatch
• Centralized logging (ELK / OpenSearch or equivalent)
• Actionable alerting and clear response ownership
• Continuously improve cloud cost efficiency by:
• Eliminating waste
• Right-sizing resources
• Balancing performance and spend
• Act as the primary responder during infrastructure incidents

Manage secure secrets and configuration, including API keys and AI credentials

Required Skills & Experience

• 3-5 years of hands-on DevOps or Platform Engineering experience
• Strong practical knowledge of:
• AWS services (EC2, S3, EKS, RDS, IAM, VPC, CloudWatch)
• Kubernetes (EKS) administration and networking
• Docker and containerized workloads
• CI/CD automation
• Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Kafka, Zookeeper, Redis
• Grafana, Prometheus
• Working knowledge of:
• Kubernetes ingress controllers and traffic routing
• Secure secrets management (AWS Secrets Manager, SSM, or equivalent)
• Supporting frontend-heavy and API-driven workloads (Next.js SSR, real-time APIs)
• Ability to reason about system architecture, failure scenarios, and cost impact

Platform & AI Workload Expectations

• Design infrastructure to tolerate unpredictable AI workloads
• Build systems that:
• Scale automatically during traffic spikes
• Degrade gracefully under stress
• Recover cleanly from failures
• Support:
• High-volume agent executions
• Event-driven pipelines
• Long-running compute tasks
• Maintain stability even when upstream services or AI models misbehave

Nice to Have

• Event-driven or streaming architectures
• Distributed system design
• SaaS platforms at scale
• Startup or scale-up engineering environments

Work Model & Expectations

• Location: Hyderabad (In-Office only)
• Schedule: 6 days/week
• High ownership role with direct production responsibility
• Strong bias toward action and accountability
• Infrastructure issues are owned end-to-end by this role

Why Join Growstack

• Venture-backed company with early traction
• Real production workloads, not experimental systems
• Direct impact on platform reliability and growth
• Opportunity to architect infrastructure that powers AI at scale

Exp - 6 years - 10 years

Remote opportunity available till offices resumes .

Shift Timing - 2pm -11pm .

AWS Data Engineer

We are looking for an AWS Data Engineer who can help out with an upcoming Master Data Project related to our migration to Databricks. Below is a background/experience summary as well as other details about the role:

Required Experience/Background Summary

- Experience Level: Senior Developer (minimum 6+ years of relevant experience).

- Core Skills (6+ years required): Databrciks, Python, SQL, and PySpark.

- Data Pipelines: 4+ years of experience developing and maintaining data pipelines.

- Workflow Management: 4+ years of experience with Apache Airflow.

- AWS Platform Experience: Required knowledge with an emphasis on Amazon S3, Athena, EMR, Redshift, Glue, and Lake Formation.

Infosys Hiring AWS DEVELOPER with experience range 5 to 8 Years

Responsibilitie s:

A day in the life of an Infoscion

• As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. • You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. • You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. • You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you

Additional Responsibilities

:• Knowledge of design principles and fundamentals of architecture • Understanding of performance engineering • Knowledge of quality processes and estimation techniques • Basic understanding of project domain • Ability to translate functional / nonfunctional requirements to systems requirements • Ability to design and code complex programs

Role:

The role requires to be highly skilled (Subject Matter Expertise) in AWS and Other Cloud solutions. Responsible for providing in-depth expertise in Amazon Web Services (AWS) technologies, best practices, and solutions. The role will involve collaborating with cross-functional teams to design, implement, and optimize AWS/ cloud based solutions that meet our product needs.

Job description

Expertise on below technologies is a must have:

• Backend application development using any of the technology like Java or NodeJS or GoLang or Python
• EKS, Kubernetes, ECR, Containerization
• Deployments using Infrastructure as a Code (IaC)

Experience in key AWS services EC2, Simple storage service(S3), Virtual private cloud (VPC), Auto-scaling, Security groups, Public/Private subnets, route 53, CloudFront, Snapshot, Direct Connect, NACL, Elastic Block Storage (EBS), Elastic Load Balancer (ELB) Internet Gateway (IG), Transit Gateway (TG), NAT, SNS, SQS etc.

Experience in Security services AWS Identity and Access Management (IAM), CloudWatch, AWS Secrets Manager, Web Application Firewall(WAF), Guard Duty, AWS Config, Cloud Trail, Amazon Inspector, AWS Shield, AWS Security Hub, Trusted Advisors, KMS etc.

Exposure on Cloud Form

Job Description: Cloud Sales (AWS)

Experience Required: 2–3 Years

Location: Noida Sec- 132

About the Role

We are looking for a Cloud Sales Executive (AWS) who will be responsible for driving revenue

growth by identifying, qualifying, and acquiring new customers for AWS cloud services. The

ideal candidate should have strong knowledge of AWS offerings, experience in B2B IT sales, and

the ability to manage end-to-end sales cycles.

Key Responsibilities

• Identify, engage, and acquire new clients for AWS cloud solutions.

• Conduct customer meetings, presentations, and product demos.

• Understand client requirements and recommend appropriate AWS services.

• Build and maintain a strong sales pipeline for cloud opportunities.

• Collaborate with technical teams for solution designing and proposal creation.

• Prepare and present quotations, proposals, and commercial negotiations.

• Achieve monthly, quarterly, and yearly sales targets.

• Maintain strong relationships with clients to ensure repeat business.

• Stay updated with AWS product changes, pricing, and industry trends.

Required Skills & Qualifications

• 2–3 years of experience in Cloud Sales / IT Sales (Mandatory).

• Strong understanding of AWS cloud services (EC2, S3, RDS, Lambda, VPC, etc.).

•

We are looking for an experienced AWS DevOps Engineer with strong hands-on AWS experience and proven expertise in cloud migration projects to join our team.

Experience: 10+ Years

Mode of Work: Remote

Location: Bangalore

Notice Period: Immediate

Shift: US Shift (4:00 PM – 1:00 AM IST)

Responsibilities:

• Lead and execute end-to-end cloud migration of applications and infrastructure from on-premises or other cloud platforms to AWS .

• Assess existing environments and define migration strategies (re-host, re-platform, re-architect).

• Design, implement, and manage AWS cloud infrastructure ensuring scalability, security, and high availability.

• Build and maintain CI/CD pipelines for automated build, test, and deployment.

• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.

• Manage containerized applications using Docker and Kubernetes (AWS EKS) .

• Monitor, troubleshoot, and optimize AWS environments using CloudWatch and other monitoring tools.

• Collaborate with development teams in Agile environments and support releases.

• Participate in product

Important Note (Please Read Before Applying)

🚫 Do NOT apply if:

• You have less than 5 years or more than 10 years of total data engineering experience
• You do not have strong AWS data engineering experience
• You do not have hands-on Python for ETL/ELT
• You cannot work from the specified location (Hybrid role)
• You are on a notice period longer than 30 days
• Your background is unrelated (e.g., BI only, support, testing, non-cloud roles)

✅ Apply ONLY if you meet ALL criteria above. Random or irrelevant applications will not be considered

Job Title: AWS Data Engineer

Location: Hyderabad

Experience: 6 +years

Employment Type: Permanent

Notice Period: Immediate Joiners Only

CTC: Up to 25 LPA

About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Job Description

We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable, high-performance data platforms using AWS cloud services and Python

Designation: Senior Cloud Engineer - AWS

Experience: 8–12 years (minimum 7 years in cloud infrastructure/DevOps)

Location: Remote

Salary: Upto 70LPA

About the Role

We are looking for a Senior Cloud Platform Engineer to lead the automation, reliability, and performance of our AWS-based infrastructure. You will architect, optimize, and scale mission-critical systems while mentoring a global team of DevOps engineers. If Kubernetes (EKS) and Terraform are second nature to you, and you thrive on solving complex infrastructure challenges, we want to talk to you.

Key Responsibilities

• Provision and maintain Amazon EKS clusters running production MongoDB and Elasticsearch
• Deploy and operate Terraform-based infrastructure including networking, IAM, compute, RDS, Redis
• Manage compute platforms (EC2, AMIs via Packer, Lambda microservices in PHP Bref runtime)
• Build and optimize CI/CD pipelines (Jenkins, Bitbucket Pipelines with Groovy libraries)
• Drive observability and monitoring (Prometheus, Grafana, CloudWatch, New Relic)
• Manage IAM, Secrets, KMS policies, and secure cross-account AWS integrations
• Handle VPN infrastructure and access management for distributed teams
• Lead root cause analysis and performance optimization across services
• Mentor junior engineers on cloud best practices

Requ

Ready to build something from the ground up?

Passionate about driving strategic partnerships with AWS across APAC?

Thrive in fast-paced, cross-cultural environments where ambiguity is the norm?

At SoftwareOne , we’re shaping the future of cloud and software services. We’re looking for a hands-on APAC AWS Alliance Lead who can roll up their sleeves and create and execute AWS alliance strategies from scratch — navigating complexity and driving impact across diverse markets.

Location: India (mostly remote; onsite work and business trips may be required as needed)

The Role

You’ll own the AWS alliance strategy for APAC, working closely with regional leadership and global teams to accelerate joint business growth. This is a highly strategic and operational role where you’ll:

• Define and execute a comprehensive AWS alliance plan for APAC.
• Build strong relationships with AWS stakeholders and internal teams.
• Identify joint go-to-market opportunities and drive pipeline growth.
• Navigate unstructured environments and adapt strategies to diverse cultures and markets.

What You’ll Do

• Develop and implement AWS alliance programs that deliver measurable business outcomes.
• Drive joint marketing and sales initiatives with AWS across APAC.
• Influence internal sta

CACI International Inc is an American multinational professional services and information technology company headquartered in Northern Virginia.

CACI provides expertise and technology to enterprise and mission customers in support of national security missions and government transformation for defense, intelligence, and civilian customers.

CACI has approximately 23,000 employees worldwide.

Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn.

Founded in 2022, CACI India is an exciting, growing and progressive business unit of CACI Ltd. CACI Ltd currently has over 2000 intelligent professionals and are now adding many more from our Hyderabad and Pune offices. Through a rigorous emphasis on quality, the CACI India has grown considerably to become one of the UKs most well-respected Technology centres.

About Data Platform:

• The Data Platform will be built and managed “as a Product” to support a Data Mesh organization.
• The Data Platform focusses on enabling decentralized management, processing, analysis and delivery of data, while enforcing corporate wide federated governance on data, and project environments across business domains.
• The goal is to empower multiple teams to create and manage high integrity data and data products that are analyti

About the Company

Growexx is seeking an AWS Cloud Solutions Architect, who will be responsible for driving AWS partnership initiatives, managing partner programs, and enabling our technical and business teams to maximize the value of our AWS Partner Network relationship. The role requires a blend of technical understanding, program management, and partner engagement skills to help Growexx build, market, and deliver AWS-aligned solutions effectively.

About the Role

The AWS Cloud Solutions Architect will act as the primary liaison between Growexx and AWS Partner Network (APN) teams, managing and coordinating AWS partner program activities, including competency attainment, funding programs, and partner enablement initiatives.

Responsibilities

• Act as the primary liaison between Growexx and AWS Partner Network (APN) teams.
• Manage and coordinate AWS partner program activities, including competency attainment, funding programs, and partner enablement initiatives.
• Support internal teams in aligning solutions and services with AWS Partner Program requirements.
• Assist in preparing and submitting case studies, validations, and partner scorecard updates.
• Collaborate with AWS Partner Managers to identify and execute go-to-market (GTM) opportunities.
• Work with internal stakeholders (Sales, Marketing, Engineering) to ensure alignment with AWS

Job Title: AWS Data EngineerLocation: Hyderabad Experience: 5+ Years Employment Type: Permanent Notice Period: Immediate Joiners / About the CompanyOur client is a global digital transformation leader with a presence in over 50 countries. Specializing in Oracle Cloud, automation, data intelligence, and enterprise consulting, they help businesses modernize their systems and accelerate innovation at scale.Job Summary:We are looking for a highly skilled Senior AWS Data Engineer with 5+ years of experience in designing, building, and maintaining scalable data pipelines on AWS. The ideal candidate will have strong expertise in AWS data services, big data processing, and modern data engineering best practices. You will work closely with data architects, analysts, and business stakeholders to deliver reliable, high-performance data solutions.Key ResponsibilitiesDesign, develop, and maintain scalable, fault-tolerant data pipelines on AWS.Build and optimize ETL/ELT workflows using AWS services.Implement batch and near real-time data processing solutions.Work with structured and unstructured data from multiple sources.Optimize data storage, performance, and cost on AWS.Ensure data quality, integrity, security, and governance.Collaborate with cross-functional teams (Data Science, BI, Product, DevOps).Troubleshoot and resolve data pipeline and performance issues.Mentor junior data engineers and conduct code reviews.Required Skills Qualifications5+ years of experience in Data Engineer

Job Title: AWS Insights Engineer (Dashboards & Analytics)

Location: India

Employment Type: Contract

Role Overview

We are looking for an AWS Insights Engineer with a strong focus on designing, building, and maintaining dashboards and analytics solutions using AWS services. This role is centered on turning cloud data into clear, reliable, and actionable visual insights for business and technical stakeholders.

You will work closely with data engineers, product teams, and business users to define metrics, model data, and deliver high-impact dashboards primarily using AWS-native analytics and visualization tools .

Key Responsibilities

• Design, build, and maintain interactive dashboards and reports using AWS QuickSight and related AWS analytics services.
• Partner with stakeholders to define KPIs, metrics, and data visualization requirements .
• Query and model data using Amazon Athena, Redshift, and S3-based data lakes .
• Ensure dashboards are accurate, performant, and easy to interpret for business users.
• Implement data refresh strategies, permissions, and row-level security in QuickSight.
• Validate data quality and consistency across dashboards and source systems.
• Optimize queries and datasets for performance and cost efficienc

Engineer the Data Backbone for AI with goML

At goML , we build modern Generative AI, AI/ML, and Data Engineering solutions that help enterprises turn data into intelligent, scalable systems. Our mission is to bridge advanced data platforms with real-world business needs—enabling faster insights, smarter decisions, and AI-ready foundations.

We’re looking for a Data Engineer (AWS) to join our growing team. In this role, you’ll design and deliver robust, scalable data pipelines and platforms across multiple client engagements. If you enjoy solving complex data problems, working close to customers, and building production-grade data systems, you’ll thrive here.

Why You? Why Now?

As enterprises modernize their data stacks to support analytics, AI, and GenAI use cases, strong data engineering becomes mission-critical. This role is ideal for someone who enjoys owning data solutions end to end , translating business needs into technical systems, and delivering high-quality outcomes in fast-moving environments.

What You’ll Do (Key Responsibilities)

First 30 Days: Context & Discovery

• Understand goML’s data engineering frameworks, delivery standards, and AWS architecture patterns
• Deep dive into ongoing client projects, data models, and ETL workflows
• Collaborate with stakeholders to understand business requirements and data challenges
  

  GoML

  

  Yesterday