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Virtusa
AWS GenAI Platform Engineer (Cloud Engineer with AWS + AI)
Virtusa
Chennai•On-site•6-9 Yrs•Jul 8
Job description
Overview
Location: Chennai, Tamil Nadu, India
Responsibilities
- Cloud Architecture Engineering (AWS):
- Design, build, and operate scalable, secure, highly available AWS workloads (compute, networking, storage, data, serverless).
- Develop reference architectures and IaC modules aligned to best practices and guardrails.
- DevOps Platform Automation:
- Implement CI/CD pipelines, automated testing, and
- GitOps workflows. Own Infrastructure as Code (Terraform/CDK/CloudFormation), configuration management, and environment provisioning across dev/test/prod.
- Observability Reliability:
- Set up logging, metrics, tracing, and SLOs using CloudWatch.
- Drive incident response, postmortems, capacity planning, and reliability improvements.
- Security Compliance:
- Embed security-by-design (IAM, KMS, Secrets Manager), enforce least privilege, and implement threat detection and vulnerability management.
- Support compliance needs (e.g., SOC2, ISO 27001, GxP) via policy-as-code and automated controls.
- Cost Management FinOps:
- Monitor and optimize cloud spend with tagging, budgets, RI/SP management, right sizing, and usage analytics. Advise teams on cost efficient architectures.
- Data Integration:
- Build data pipelines (AWS Glue, Step Functions, Lambda, EventBridge) and API integrations (API Gateway, AppSync, ALB/NLB) to support AI workloads and product features.
- AI Platform Enablement (Bedrock, GenAI):
- Design and operate Amazon Bedrock integrations, model access patterns, prompt and retrieval pipelines, and RAG architectures using AWS native and open tooling.
- Agentic AI Orchestration:
- Implement agentic workflows (tool use, planning, memory) with frameworks (LangChain, AWS Agents for Bedrock) and secure tool adapters (search, code, data).
- Manage observation and safety layers.
- MLOps for Foundation Models:
- Establish versioning, evaluation, governance, and rollout practices for prompts, datasets, embeddings, and model variants.
- Automate offline/online evaluation, A/B tests, and canary releases.
- Cross Functional Collaboration:
- Partner with product, data science, security, and compliance to translate requirements into robust cloud and AI solutions.
- Provide technical documentation and knowledge sharing.
Qualifications
- Required Experience
- CIS-AWS Infra - DevOps.
- Date Posted
- 13/05/2026 Location: Chennai, Tamil Nadu, India
- Date Posted: 13/05/2026
Education
- Bachelors degree in Computer Science/Engineering or equivalent experience;
- Minimum 6-9 years of experience in the IT Industry.
- 5+ years in cloud engineering/DevOps with 3+ years hands-on in AWS.
- AWS Expertise:
- Proficiency in IAM, VPC, EC2/EKS, Lambda, API Gateway/AppSync,
- S3, RDS/Aurora/DynamoDB, CloudWatch, KMS, Secrets Manager, Step Functions, EventBridge, Glue.
- DevOps IaC:
- Strong skills in Terraform (or AWS CDK/CloudFormation), CI/CD
- (GitHub Actions/GitLab CI/AWS CodePipeline), containerization (Docker, Kubernetes/EKS), and artifact management.
- Solid understanding of cloud security, networking, encryption, key management, least privilege, and policy-as-code (e.g., OPA/AWS Config).
- Hands-on with Amazon Bedrock, LLM integration, prompt engineering, RAG pipelines (vector stores like OpenSearch, Aurora, or DynamoDB + embedding), and
- agent frameworks (e.g., LangChain, Agents for Bedrock). Experience with model evaluation, guardrails, and content moderation.
- MLOps/Governance:
- Knowledge of versioning (DVC/Git), experiment tracking
- (MLflow/SageMaker), feature/embedding stores, A/B testing, and deployment strategies for AI features.
- Soft Skills:
- Strong communication, documentation, collaboration, and ownership mindset. Comfortable working in regulated environments with riskbased decision making.
- Key Job Details
- Primary Location
- Chennai, Tamil Nadu, India