Description :

Role : DevOps - AWS GenAI Engineer

Location : Chennai (WFO)

Experience : 8+ Years

Key Responsibilities :

- Design, implement, and manage Infrastructure-as-Code (IaC) using Terraform for multi-account AWS environments.

- Build and maintain Azure DevOps CI/CD pipelines for infrastructure and app deployments.

- Automate provisioning of AWS AI/ML services - SageMaker, Bedrock, Comprehend, Textract, Rekognition, and LLM endpoints.

- Enforce security, compliance, and governance (IAM, VPC, encryption, cost optimization).

- Integrate observability tools for monitoring, alerting, and logging across GenAI workloads.

- Collaborate with AI/ML, Data Engineering, and Security teams to streamline model deployment workflows.

Requirements :

- 5+ years of DevOps / Cloud Engineering with AWS focus.

- Deep hands-on expertise in Terraform, Azure DevOps (YAML), and AWS core services (EC2, EKS, Lambda, S3, IAM).

- Experience with AWS AI/ML services like SageMaker, Bedrock, Comprehend, Translate, Lex, etc.

- Strong Linux, Docker, Kubernetes, and scripting (Python/Bash) skills.

- Knowledge of cloud security best practices and operational excellence.

Good to Have :

- Experience with ML model deployment pipelines and Generative AI frameworks (RAG, fine-tuning, vector databases).

- AWS Certifications DevOps Engineer Professional / Solutions Architect / ML Specialty.

- Ready to innovate at the intersection of DevOps and Generative AI