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(ref : hirist.tech)