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Azure Cloud Engineer ( HPC & FinOps) - US-Based Software Company Pune (Remote)

Location: Kharadi, Pune

Work Mode: Remote

Experience: 10+ Years

Global Presence: India Finland USA

About the Role

Our client, a US-based global software organization, is looking for a Senior Azure Cloud Engineer to join a fast-growing, high-performance cloud engineering team. This role is ideal for professionals passionate about High Performance Computing (HPC), cloud scalability, and FinOps-driven cost optimization.

You will work on enterprise-scale Azure environments, leverage advanced Azure HPC services, and play a key role in building secure, scalable, and cost-efficient cloud solutions used by global customers.

Key Responsibilities

• Deploy, manage, and optimize HPC workloads on Microsoft Azure
• Design and support HPC environments using Azure CycleCloud and Azure NetApp Files
• Perform Linux system administration and OS-level configurations
• Drive FinOps best practices to monitor, analyze, and optimize cloud spend
• Design and manage Infrastructure as Code (IaC) using Terraform
• Automate Azure deployments through Terraform-based CI/CD pipelines
• Configure and manage Azure networking, compute, and storage for HPC and hybrid cloud
• Monitor, troubleshoot, and resolve performance issues in HPC and containerized workloads
• Mentor junior engineers and contribute to the growth of the cloud engineering practice

Experience & Skills Required

• 10+ years of overall IT experience, with 5-7 years on Microsoft Azure
• Strong hands-on experience running HPC workloads on Azure
• Solid background in Linux administration and hybrid cloud networking
• Proven expertise in cloud cost optimization & FinOps
• Terraform (mandatory) with strong CI/CD & DevOps exposure
• Excellent analytical, troubleshooting, and communication skills

Why Join?

• Work with a global US-based product organization
• Exposure to cutting-edge Azure HPC technologies
• Fully remote role with enterprise-scale cloud projects
• Opportunity to influence architecture, cost efficiency, and best practices

Interested?

Apply now or share your CV to

Greetings

TCS is hiring

Role: GCP Vertex AI cloud Engineer

EXP: 5 - 8 YEARS

LOCATION: PAN INDIA

Notice Period- 30 DAYS

Job Description

• Terraform, Linux, Ansible, Kubernetes, Vertex
• 6+ years of relevant work experience in cloud engineering.
• AI Platforms: Understanding of AI platforms in a cloud environment (Vertex AI, CoPilot, Sagemaker, Bedrock).
• Platform Availability: Ensure that the AI Platform (Vertex AI) is available and functioning as expected.
• Security: Ensure that public models are exposed securely and that the platform follows industry best practices for security and governance.
• Cloud Platform: Proficiency in Cloud Platforms with an understanding of Google Cloud Platform (GCP)
• Infrastructure as Code: Intermediate proficiency in Terraform for infrastructure automation.
• Network and Security: Advanced understanding of network and security principles.
• Linux: Advanced knowledge of Linux operating systems (RHEL).
• DevSecOps: Advanced skills in DevSecOps practices, with a focus on shift-left thinking and zero-touch automation.
• Architecture Patterns: Strong experience working with common architecture patterns and an understanding of AI/ML workflows

Responsibility of / Expectations from the Role

Design and Deploy: Contribute to the design and deployment of enterprise-wide scalable, highly available, secure, and reliable platforms and architecture on the Google Cloud Platform (GCP) full-stack as well as AL solutions and ML pipelines

2 Establish Reusable Patterns: Develop reusable patterns to be used across engineering teams,

ensuring consistency and efficiency and apply these patterns to AI and ML workflows.

3 Collaborate: Work closely with various business and technology teams to create a clear and cohesive vision for the future state of our Google Cloud Platform.

4 Stay Informed: Maintain awareness of industry trends and technologies, recommending timely adjustments to strategies as appropriate and stay up to date on AI and ML advancements.

5 Security & Governance: Assist with the development and management of security and governance processes to ensure that cloud deployments are secure and follow the industry's best practices.

About Us

ConglomerateIT is certified and a pioneer in providing premium end-to-end global workforce solutions and IT services to diverse clients across various domains. Visit us at

Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of a global network to connect businesses with the right people without bias. We provide global workforce solutions with affability.

About the Job:

Job Title: AWS Cloud Engineer

Location: Hyderabad (onsite)

Job Description:

Role Overview

We are looking for an experienced AWS Cloud Engineer with strong practical expertise in cloud infrastructure operations and automation. The role is responsible for maintaining and improving cloud platform availability, system performance, and operational efficiency. The position requires close coordination with internal stakeholders such as cloud operations, DevOps, application support, and security teams to ensure that AWS systems are secure, scalable, and optimized for cost and performance.

Primary Duties & Responsibilities

• Maintain, support, and operate AWS environments spanning multiple accounts and environments (production, staging, non-prod).
• Provision, configure, and manage infrastructure through Infrastructure-as-Code tools such as Terraform.
• Support and enhance CI/CD pipelines, including integrations with source control repositories.
• Administer Amazon EKS clusters, including deployment, scaling, version upgrades, and handling operational issues.
• Build and maintain Docker container images and manage image repositories using ECR.
• Monitor cloud resources using CloudWatch and external monitoring tools; respond to alerts, outages, and performance issues.
• Work with AWS networking components including VPCs, routing, NAT, VPN/Direct Connect, and Transit Gateways.
• Assist with cloud governance tasks such as tagging, budget monitoring, and cost optimization.
• Automate recurring operational activities using scripting (Python, Bash), AWS Lambda, and AWS Systems Manager services.

Required Technical Background

• Deep, hands-on exposure to AWS services including EC2, IAM, VPC, S3, Load Balancers, CloudWatch.
• Experience using Terraform for automated provisioning and Git-based workflows for version control.
• Practical experience running and troubleshooting Kubernetes workloads, ideally on Amazon EKS.
• Familiarity with CI/CD toolsets such as Jenkins, GitHub Actions, GitLab CI, or similar.
• Strong scripting capability using Python or Bash.
• Knowledge of monitoring, system incident response procedures, and fundamentals of cloud security.

Preferred / Good-To-Have Skills

• AWS Associate-level Certification(s)
• Experience with tools such as Karpenter, Prometheus, or New Relic
• Exposure to cloud cost management, FinOps practices, or optimization tools

About Zywave

Zywave is a global leader in delivering innovative cloud solutions that empower businesses to scale, secure, and optimize their infrastructure. We foster a culture of collaboration, continuous learning, and technical excellence, and we are expanding our Cloud Platform team to drive the next phase of our cloud transformation journey.

Job Title: Senior Cloud Engineer - Cloud Platform

Location: Pune, India

Work Mode: Hybrid

Experience: 4-8 years

Team: Cloud Platform

About the Role

Zywave is looking for a highly skilled Senior Cloud Engineer to join our Cloud Platform team. In this role, you will design, build, and maintain scalable, secure, and automated cloud infrastructure. You will collaborate with cross-functional engineering teams to implement best practices, optimize cloud operations, and ensure reliable and cost-efficient infrastructure for our global SaaS products.

Key Responsibilities

• Design, deploy, and manage cloud infrastructure on AWS using Infrastructure as Code tools like Terraform.
• Implement and maintain CI/CD pipelines and Git-based version control workflows.
• Configure and manage Kubernetes clusters for containerized workloads.
• Manage networking components including DNS, firewalls, VPCs, and security groups.
• Write and maintain automation scripts using Bash.
• Monitor cloud resources, performance, and availability; troubleshoot issues and optimize costs.
• Collaborate with cross-functional teams to implement best practices for cloud security, scalability, and resilience.
• Contribute to documentation, standards, and governance for cloud operations.
• Mentor junior engineers and conduct code/review sessions as needed.

Must-Have Skills

• AWS Cloud Services (EC2, S3, VPC, IAM, CloudFormation, Lambda, CloudWatch)
• Terraform for Infrastructure as Code (IaC)
• Kubernetes cluster deployment and management
• Git and version-control workflows
• Networking Skills: DNS, firewalls, VPC, routing, security groups
• Scripting: Bash (automation, monitoring, and deployment scripts)

Nice-to-Have Skills

• Prompt Engineering / AI-assisted workflows
• Azure Cloud Services
• Advanced monitoring tools like CloudWatch

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, or related technical field (preferred)

Why Join Zywave

• Work on global-scale cloud infrastructure supporting SaaS platforms.
• Collaborative and high-performing engineering culture.
• Opportunity to work on modern cloud-native technologies and automation initiatives.
• Hybrid work model with flexibility, growth, and career progression.

Dear Candidate,

Greetings from TATA Consultancy Services

Thank you for expressing your interest in exploring a career possibility with the TCS Family.

Hiring For:- AI Cloud Engineer

Location: PAN INDIA

Experience: 5 to 8yrs

ob Description: As an AI Cloud Engineer at Zions Bancorporation, you will play a crucial role in establishing Google Cloud foundations and onboarding native cloud services to meet infrastructure and project specifications. You will have the opportunity to work on exciting projects and develop your skills in a supportive environment.

• Design and Deploy: Contribute to the design and deployment of enterprise-wide scalable, highly available, secure, and reliable platforms and architecture on the Google Cloud Platform (GCP) full-stack as well as AL solutions and ML pipelines
• Establish Reusable Patterns: Develop reusable patterns to be used across engineering teams, ensuring consistency and efficiency and apply these patterns to AI and ML workflows.
• Collaborate: Work closely with various business and technology teams to create a clear and cohesive vision for the future state of our Google Cloud Platform.
• Stay Informed: Maintain awareness of industry trends and technologies, recommending timely adjustments to strategies as appropriate and stay up to date on AI and ML advancements.
• Security & Governance: Assist with the development and management of security and governance processes to ensure that cloud deployments are secure and follow industry best practices.

Technical Experience and Qualifications:

We value candidates who have a thinker/doer mentality. A willingness to learn and grow is critical to success.

• Experience: 4+ years of relevant work experience in cloud engineering.
• AI Platforms: Understanding of AI platforms in a cloud environment (Vertex AI, CoPilot, Sagemaker, Bedrock).
• Cloud Platform: Proficiency in Cloud Platforms with an understanding of Google Cloud Platform (GCP)
• Infrastructure as Code: Intermediate proficiency in Terraform for infrastructure automation.
• Network and Security: Advanced understanding of network and security principles.
• Linux: Advanced knowledge of Linux operating systems (RHEL).
• DevSecOps: Advanced skills in DevSecOps practices, with a focus on shift-left thinking and zero-touch automation.
• Architecture Patterns: Strong experience working with common architecture patterns and an understanding of AI/ML workflows.
• Programming: Basic knowledge of programming languages like Python.
• BDD: Strong experience with Behavior Driven Development (BDD) creation for testing.

Exp-6 to 8 Years Skills: • Expertise in DevOps & Cloud tools • Hands on experience with Infra as a code tools like terraform, ansible, puppet, chef, cloud formation , etc • Expertise in any Cloud (AWS, Azure, GCP) • Good understand of version control (Git, Gitlab, GitHub) • Hands-on experience in Container Infrastructure (Docker, Kubernetes) • Ability to define container-based environment topology following principles of designing a wellarchitected framework. • Ensuring availability, performance, security and scalability of production system • Hands on experience with Infrastructure Automation tools like Chef/Puppet/Ansible, Terraform, ARM, Cloud Formation • Hand on experience with Artifact repositories (Nexus, JFrog Artifactory) Hands on experience with CI/CD tools on-premises/cloud (Jenkins, CircleCI, etc. ) • Hands on experience with Monitoring, Logging, and Security (CloudWatch, cloud trail, log analytics, hosted tools such as ELK, EFK, Splunk, Datadog, Prometheus,) • Hands-on experience with scripting languages like Python, Ant, Bash, and Shell • Hands-on experience in designing pipelines & pipelines as code. • Hands-on experience in end-to-end deployment process & strategy • Hands-on experience of GCP/AWS/AZURE with a good understanding of computing, networks, storage, IAM, Security, and integration services • Capability to write complex code - e.g., automation of recurring/mundane tasks, • Good understand of OS administration (CPU, memory, network performance troubleshooting), also demonstrates strong troubleshooting skills Demonstrates HA/DR design on Cloud platform as per SLAs/RTO/RPO • You should have solid understanding of Terraform, understanding of usage and creation of terraform modules • Good exposure on AWS CLI and SDK like boto3, azure SDK, etc s • Good understanding of AWS networking (VPC, security group, routing, TGW and vpc peering • Good understanding services like RDS - Mysql, MongoDB, Document DB, Postgres, • Good understanding of Kubernetes self-managed clusters, Fargate, S3, NLB, ALB, API gateways, route 53, WAF, Advance shield, Lambda and KMS

Hiring for DevSecOps

Experience: 7-9 years

Location: Hyderabad (WFO)

As our DevSecOps Engineer, you will play a critical role in strengthening our product development and cloud leadership initiatives. This position is designed to ensure secure, efficient, and cost-optimized delivery across AWS, Azure, and multi-cloud platforms, while driving the adoption of DevOps and DevSecOps practices within the organization.

You will function as both an individual contributor and a mentor, enabling teams to independently deliver secure solutions, accelerating product milestones, and ensuring alignment with organizational KPIs.

Core Responsibilities Include:

a. Product & Cloud Architecture

• Collaborate with product teams to design secure, scalable, and cost-optimized cloud architectures.

• Enable adoption of cloud-native services and AI/ML integration for product innovation.

b. DevOps & Automation

• Design and maintain CI/CD pipelines, ensuring fast, reliable, and secure releases.

• Implement automation frameworks for infrastructure (IaC with Terraform, Pulumi, Bicep, etc.).

• Drive monitoring, observability, and performance engineering using tools like Prometheus, Grafana, ELK, CloudWatch, and Azure Monitor.

c. DevSecOps & Security

• Embed shift-left security practices into the development lifecycle.

• Implement vulne