Find Your Dream Solution Architect Job in India

SAP S4 RISE with SAP - Cloud Solution Architect_Contract to Hire or Subcon or Permanent_Greater Noida

Job Title: SAP S4 RISE with SAP - Cloud Solution Architect

Job Type: Contract to Hire or Subcon or Permanent

Location: Greater Noida

Experience: 10+ years

Job Description:

Mandatory Skills: Sol Arch - SAP S/4 RISE Cloud

Desirable Skills: Sol Arch - SAP S/4 RISE Cloud

Key Function:

SAP Presales Solution Architect (RISE with SAP - Cloud)

The incumbent will help in achieving international growth objectives.

Supporting the sale of strategically important deals with Winning Solution and Thought Leadership.

Focus on crafting SAP S/4 Cloud Deployment Option - RISE with SAP

Developing other solution team members.

Develop into new industries, propositions, services, technologies.

Personnel growth to become a Solution Director.

Key Objectives:

Deliver sales revenue targets through individual - solo and team based selling.

To support qualification of initial leads and determine appropriate bid team.

Own bid lifecycle for smaller bids whilst contributing to larger bids.

To lead / support complex and outside the norm customer bid opportunities and customer ITT responses - leading to the client to choose as their preferred partner.

Act as a quality assurance on proposals documents and presentations written by less experienced team members.

To be part of the initial project delivery team in order to architect the solution design and de-risk the project.

To build strong industry/partner relationships.

To develop own skill set to maintain 'thought leadership' status in customer's and peers eyes.

Mentor Solutions Managers / Managing Consultants to become Solution Architects. Core Competencies:

Can conceptualize and communicate winning propositions - making complex ideas look simple.

SAP S/4HANA(IaaS & RISE) Rightsizing and Migration to Cloud Programme

DEV/SEC/OPS & Agile Delivery Advisor SAP Hardware & Software Architecture Trusted Advisor Strong knowledge of SAP S/4 Transformation Projects

SAP Innovator not follower Developing SAP RISE focused Value Proposition for Rightsizing / Archiving for S/4HANA & BW/4HANA

Bright, ability to rapidly pick-up new technologies, propositions and business areas.

Outcome oriented - maximizing balance of effort vs benefit to achieve objectives.

Demonstrates excellent communication skills both verbally and in writing.

Ability to work under own initiative and under tight time pressures - planning, prioritising and controlling own workload.

Precise approach to project management and procedures.

Ability to assert own ideas to clients and within senior management.

Is able to give strong coaching and feedback where needed to the client or team members for continuous improvement

Job Title: Service Desk Solution Architect_PAN India

Location: PAN India

Experience: 12 to 18 Years

Job Description:

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 12+ years of experience in ITSM or enterprise IT architecture, with 3+ years in a solution architect role.
• Strong experience with ITSM platforms like ServiceNow, BMC, or Ivanti.
• Strong experience with Contact center platforms like Genesys Cloud CX, Five9, Nice CX etc

Preferred Skills & Certifications:

• ITIL v4 Certification (Foundation or higher).
• ServiceNow Certified System Administrator / Architect.
• Knowledge of scripting (JavaScript, PowerShell), APIs, and integration frameworks.
• Strong analytical, communication, and documentation skills.
• Knowledge & experience on deployment of Agentic AI use cases for ITSM, Contact Centre, DeX solutions

Key Responsibilities:

Solution Architecture & Design

• Design and document service desk architectures, including workflows, integrations, and data models.
• Define technical standards and ensure alignment with enterprise architecture.
• Evaluate and recommend ITSM tools and technologies (e.g., ServiceNow, BMC Remedy, Freshservice).
• Platform Expertise
• Lead the configuration and customization of ITSM platforms.
• Design and implement modules such as Incident, Request, Problem, Change, and Knowledge Management.
• Integrate service desk systems with monitoring tools, CMDB, identity providers, and other enterprise systems.
• Innovation & Optimization
• Identify opportunities for automation, AI/ML integration, and self-service enhancements.
• Collaborate with AI and automation teams to implement chatbots, virtual agents, and predictive analytics.
• Drive continuous improvement through performance analysis and user feedback.
• Stakeholder Collaboration
• Work closely with business analysts, service owners, and IT operations teams to gather requirements.
• Translate business needs into technical solutions and ensure stakeholder alignment.
• Provide architectural guidance during project planning and implementation.
• Governance & Compliance
• Ensure solutions comply with security, privacy, and regulatory requirements.
• Maintain architectural documentation and participate in design reviews.
• Support audits and risk assessments related to service desk systems.

Kind Regards,

Priyankha M

Job Title: Flexera Architect- Cloud Contact Center

Location: PAN India

Experience: 8 to 10 Years

Job Description:

Job Responsibilities:

• Delivering IT-OT Network segmentation as per IEC 62443 - Designing, implementation
• Template defining OT Asset inventory collection, IT-OT Network Reference architecture as per Purdue Model
• Provide OT network security Design and advisory as per IEC62443 /NIST industry standard
• Defining multi-year roadmaps for OT network modernization as per Industry 4.0
• Doing OT Industrial Network & security Offering development.
• Associates should be willing to travel as necessary Domestic & international
• Preparation & maturing of OT Network and Security offerings.

Kind Regards,

Priyankha M

Job Title: Technical Solution Architect (AI/ML - Full Stack Technologies)

Domain: Telecom only.

Employment: Full-Time (Onsite)

Required Skill: Google Cloud Platforms (GCP), AI/ML tools, Vertex AI , GCP Certified , Full Stack technologies.

- :

We are looking for - .

Job Summary:

We are seeking a highly accomplished Technical Solution Architect with deep expertise in AI/ML solutions, Full Stack technologies, and Contact Center (CCaaS) platforms, preferably from the Telecom domain.The ideal candidate will bring a strong blend of technical excellence, architectural vision, and stakeholder leadership, with the ability to translate complex business requirements into scalable, secure, and future-ready technology solutions.

Key Responsibilities:

> Solution Architecture & Strategy:

• Lead the end-to-end architecture design for AI-driven, cloud-native, and full-stack solutions across enterprise systems.
• Define technology roadmaps aligned with business goals, digital transformation initiatives, and telecom industry standards.
• Act as a trusted technical advisor to business leaders, product teams, and enterprise stakeholders.

> AI / ML & Advanced Analytics

• Design and deploy AI/ML solutions using GCP Vertex AI, BigQuery ML, AutoML, and custom ML models.
• Drive intelligent use cases such as predictive analytics, personalization, automation, sentiment analysis, and customer experience optimization.
• Ensure model scalability, governance, monitoring, and lifecycle management.

> Cloud & Platform Engineering

• Architect and implement highly available, secure, and scalable cloud solutions on GCP.
• Lead cloud modernization and migration programs, ensuring performance optimization and cost efficiency.
• Define best practices for cloud security, observability, scalability, and reliability.

> Full Stack & CCaaS Enablement

• Provide architectural oversight for Full Stack applications (frontend, backend, APIs, integrations).
• Drive solution design for Contact Center (CCaaS) platforms, ensuring seamless omnichannel experiences.
• Integrate enterprise systems including CRM, analytics platforms, and customer engagement tools.

> Leadership & Governance

• Mentor and guide engineering, data, and platform teams.
• Conduct architecture reviews, solution validations, and technical risk assessments.
• Ensure compliance with enterprise architecture standards, security policies, and governance frameworks.

> Innovation & Thought Leadership

• Stay ahead of emerging trends in AI, GenAI, Cloud, Telecom, and CX technologies.
• Proactively identify opportunities for innovation and continuous improvement.

Required Skills & Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

9+ in software development & solution architecture.

3+ years hands-on experience with ( .).

Proven expertise in:

• AI/ML platforms (Vertex AI, AutoML, BigQuery ML)
• Cloud-native architectures & microservices
• Containerization & orchestration (Docker, Kubernetes, GKE)

Strong understanding of CI/CD pipelines, DevOps practices, and automation.

Hands-on exposure to Contact Center (CCaaS) technologies, preferably within Telecom environments.

Note:

> GCP Professional Cloud Architect or Professional Machine Learning Engineer certification.

ANSR is hiring for one of its clients.

About American Airlines:

To Care for People on Life's Journey . Together with our American Eagle regional partners, we offer thousands of flights daily to more than 350 destinations in more than 60 countries.

American Airlines is transforming the way it delivers technology to its customers and team members worldwide.

American's Tech Hub in Hyderabad, India, is our latest technology office location and home to team members who drive technical innovation and engineer unrivalled digital products to best serve American's customers and team members. With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, our new team in Hyderabad, India enables better support of our 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience.

Intro:

Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board!

Why you'll love this job:

• As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline.
• The Software domain refers to the area within Information Technology that focuses on the development, deployment, management, and maintenance of software applications that support business processes and user needs while ensuring reliability, performance, and security. This includes development, application lifecycle management, requirement analysis, QA, security & compliance, and maintaining the applications and infrastructure.

What you'll do:

As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

• Writes, tests, and documents technical work products (e.g., code, scripts, processes) according to organizational standards and practices
• Delivers high quality work and coaches team members on technical craftsmanship
• Conducts root cause analysis to identify systemic problems and defines and leads execution of action items to address
• Designs thoughtfully integrated systems that model organizational best practices, allowing disparate teams across product domains to deliver value with speed, scale, and reliability
• Oversees the management of technical debt in existing systems and drives opportunities to eliminate within ongoing implementations
• Consistently anticipates scaling, latency, and durability challenges and guides teams in implementation of mitigating strategies
• Partners with the security organization to incorporate security conscious practices early in the lifecycle of new systems
• Thoughtfully evaluates technical risks and guides toward practical prevention strategies
• Consistently works across teams to break down silos and resolve problems collaboratively
• Builds and maintains strong relationships with engineering and product leaders as well as key vendors across span of influence to capitalize on synergies within related organizations
• Clearly translates technical strategy into implementable componentry within the context of the relevant business area
• Maintains a focus on removing the duplication of effort across teams and proactively identifies opportunities for reuse within their span of influence
• Mentors individuals on teams across their span of influence
• Ensures teams across their span of influence are directionally aligned on the engineering strategy of their product domain and leads cross-team efforts that advance and influence organizational strategy

All you'll need for success:

Minimum Qualifications- Education & Prior Job Experience:

• Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• 8+ years of experience designing, developing, and implementing large-scale solutions in production environments
• Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training

Preferred Qualifications- Education & Prior Job Experience:

• Airline Industry experience

Skills, Licenses & Certifications:

Proficiency with the following technologies:

• Programming Languages: Java, Python, C#, Javascript/Typescript
• Frameworks: Spring/SpringBoot, FastAPI
• Front End Technologies: Angular/React
• Deployment Technologies: Kubernetes, Docker
• Source Control: GitHub, Azure DevOps
• CICD: GitHub Actions, Azure DevOps
• Data management: PostgreSQL, MongoDB, Redis
• Integration/APIs Technologies: Kafka, REST, GraphQL
• Cloud Providers such as Azure and AWS
• Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity
• Ability to concisely convey ideas verbally, in writing, in code, and in diagrams
• Ability to optimize system designs spanning multiple teams to allow small, safe, incremental releases
• Ability to work through others by cooperatively sharing responsibilities
• Ability to combines deep knowledge of a product domain with awareness of advancing technology to introduce solutions that propel the technical capability of the organization forward.
• Proficiency in object-oriented design techniques and principles
• Proficiency in Agile methodologies, such as SCRUM
• Proficiency in DevOps Toolchain methodologies, including Continuous Integration and
• Continuous Deployment

Language, Communication Skills, & Physical Abilities:

• Ability to effectively communicate both verbally and written with all levels within the organization
• Physical ability necessary to safely and successfully perform the essential functions of the position, with or without any legally required reasonable accommodations that do not pose an undue hardship. Note: If the Company has reason to question an employee's physical ability to safely and/or successfully perform the position's essential job functions, the HR team generally will engage in an interactive process to determine whether a reasonable accommodation is appropriate. HR (working with the operation) ordinarily first speaks with the team member directly and they mutually identify the physical demands of the job that are or may be impacted by the employee's obvious or known condition. Then, if necessary, HR would request medical documentation from the team member's treating physician or others to confirm the employee's ability to perform those essential job functions safely and successfully.

What you'll get:

Feel free to take advantage of all that American Airlines has to offer:

• Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network.
• Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more.
• Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need.
• 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year.
• Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more

Feel Free to be yourself at American:

From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Employee Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world.

Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself in America.

Competencies:

• Caring
• Collaboration
• Development
• Results
• Future

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

Role Overview

We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures.

Key Responsibilities

1. Architecture & System Modernization

• Own the redesign of the Truscan backend architecture:
• Multi-stage compute pipeline (Stage 1-4)
• High-performance Python workers (Blender, Open3D, CV, ML pipelines)
• RabbitMQ or AWS-native event orchestration
• Build an event-driven, scalable system architecture leveraging:
• AWS ECS Fargate / EKS for isolated compute
• AWS Lambda where applicable
• AWS Step Functions for orchestration
• AWS SQS/SNS as queueing alternatives to RabbitMQ
• Introduce horizontal scaling patterns for heavy Blender/Python workloads.

2. Performance Engineering

• Analyze slow-running compute code and provide architectural solutions:
• Worker isolation
• Parallel multi-processing
• Concurrency throttling
• Memory and CPU right-sizing
• Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction).

3. DevOps & CI/CD Engineering

• Establish full CI/CD pipelines using:
• AWS CodePipeline / GitHub Actions
• Dockerized environments for Python compute
• Automated deployments for Java Spring Boot + Python services
• Implement AWS-native observability:
• CloudWatch Logs
• Application Insights
• AWS X-Ray for traceability
• Prometheus/Grafana for performance dashboards (optional)

4. Security, Governance & Best Practices

• Harden the compute platform with AWS standards:
• VPC design (private subnets, NAT, security groups)
• Secrets Manager / Parameter Store
• IAM roles with least-privilege access
• Migrate static configs to AWS-managed secure storage.

5. Reliability, Fault Tolerance & Scaling

• Design fault-tolerant workers for handling:
• Failed scans
• Retries
• Idempotent processing
• Large file handling (USDZ, PNG, GLB)
• Implement S3 tiered storage & lifecycle policies for compute data.

6. Collaboration & Leadership

• Work directly with Java, Python, ML, and DevOps teams.
• Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans.
• Provide sprint planning guidance and architectural documentation.

Required Skills & Experience

1. Core AWS Expertise

Must-have production experience with:

• ECS (Fargate), EKS, EC2 Autoscaling
• S3, Lambda, API Gateway
• Step Functions
• SQS/SNS
• CloudWatch, X-Ray, CloudTrail
• VPC, Subnets, NAT, SGs
• AWS Secrets Manager / Parameter Store
• IAM design

2. High-Performance Compute Experience

• Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines).
• Experience with containerized Blender/Open3D, GPU/CPU optimization, or similar pipelines.

3. Strong Python & Java Background

• Enough understanding to review and guide improvements in:
• Python multi-processing
• Asynchronous compute workers
• Java Spring Boot schedulers, producers, queue consumers
• File-locking, message-driven architecture

4. DevOps & Automation

• Docker, GitHub Actions, AWS CodeBuild, CodePipeline
• Infrastructure-as-Code: CloudFormation or Terraform
• Monitoring & alerting design

5. Architecture Skills

• Event-driven design patterns
• Microservices architecture
• Race-condition and concurrency safety
• Distributed locks, queues, idempotent consumers
• Circuit breaker, retry strategies

About Forsys

• Forsys Inc. is a leader in Lead-to-Revenue transformation, combining strategy, technology, and business transformation to drive growth. With a team of over 600 professionals spread across the US, India, UK, Colombia, and Brazil, and headquartered in the Bay Area, Forsys epitomizes innovation and excellence.
• Our role as an implementation partner for major vendors like Conga, Salesforce and Oracle; an incubator for pioneering ideas and solutions positions us uniquely in the consulting industry.
• We are dedicated to unlocking new revenue streams for our clients and fostering a culture of innovation. Discover our vision and the impact we’re making at forsysinc.com

Experience: 10-15 Years:

As a Solutions Architect you will be responsible to support the Solution Delivery Life Cycle by developing solution designs and providing technical guidance throughout the cycle. Your main focus will be on developing and maintaining the core application architecture of our business.

Responsibilities:

• Validate and map Business Requirements into Technical Solution Concepts and Designs Unit testing, Writing documentation
• Undertake solution design throughout the project lifecycle
• Work with the internal stakeholders to establish and maintain a productive relationship
• Producing high-quality, properly functioning del

Charter for the Role

1. Co create technology strategy with client to fast-track platform adoption:
2. Develop deep relationships with client technology executives, understand client technology roadmap and landscape and co create platform roadmap to accelerate adoption. Instill confidence on the proposed solutions with majority of potential know-hows/ pit falls on the platform adoption roadmap.
3. Creating Reference Client Adoption Architectures:
4. Develop reference client architectures based on successful implementations across domains such as Fraud, Marketing, Originations, Account Management, and Collections keeping an eye on their data/ integrations landscape.
5. Defining Best Practices:
6. Establish best practices around the platform, covering topics like Integrations, Data, Security, Scalability, Resilience, Composability, Extensibility and Cost
7. Pattern Library:
8. Curate and validate an adoption pattern library that includes cross-cutting practices related to Authentication, Authorization, Role Management, Release Management etc.
9. Overarching Support:

• Collaborate with Product and Engineering teams to incorporate updates on platform evolution, provide feedback to enhance the platform.
• Work with Delivery teams to showcase best-in-class references from real-life implementations.
• Empower sales and pre-sales with collaterals to instill confidence in clients regardin

Role: Presales & Solution Architect

BU / Service Line: AI and Immersive

Location: Pune/Bengaluru

Job Title / Role: Pre-sales & Solutions Consultant – New Age

Experience and Skill Set Required: Graduate degree

• 2–3 years of experience in Presales and Solution Design within BPS (Business Process Services)
• Strong communication and presentation skills
• Proven ability to lead and front-end End-to-End RFP lifecycle , including Bid Management and Solution Design for New Age domains in BPS services
• Ability to work independently and collaborate with globally distributed teams under tight timelines

Job Summary:

We are seeking a Presales Solution Consultant for our New Age service line. The ideal candidate will have hands-on experience in Presales and Solution Design for BPS services , with a strong track record of managing end-to-end RFP processes . This role demands autonomy, attention to detail, and exceptional collaboration skills to orchestrate RFP submissions by engaging multiple global support teams.

Key Attributes:

• Excellent communication and call anchoring skills
• Strong planning and execution capabilities
• Ability to thrive in a fast-paced, demanding environment

Wipro

3 days ago