Senior DevOps Engineer (AWS GenAI Platform)

Position : Senior DevOps Engineer – AWS GenAI Platform

Type :  Long-Term

Experience : 8-10 Years

Role Overview

We are seeking an experienced DevOps Engineer to support our AWS Generative AI initiatives, focusing on building secure, scalable, and automated cloud environments. The ideal candidate will be highly proficient in Terraform-based infrastructure automation, Azure DevOps CI / CD pipelines, and AWS AI / ML services, with strong emphasis on security, compliance, and operational excellence.

This role will be pivotal in enabling our Data & AI teams to deploy, manage, and operate generative AI workloads efficiently and securely.

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 application deployments.
• Automate provisioning and configuration of AWS AI / ML services (e.g., SageMaker, Bedrock, Comprehend, Textract, Rekognition, and LLM endpoints).
• Establish and enforce security, compliance, and governance controls (IAM, VPC isolation, encryption, TLS, logging, tagging, and cost governance).
• 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 and ensure platform reliability.
• Maintain environment consistency across Dev, QA, and Prod using automated provisioning and configuration management.

Required Skills & Experience

Nice to Have

Skills Required

S3, Rds, Bash, Lambda, Ec2, Cloudwatch, Terraform, ECS, Iam, Python, Azure Devops