DevOps Engineer - Docker / Kubernetes

Description :

Job Role : DevOps - AWS GenAI Engineer

Experience : 7 - 10 years

Location : Chennai

Job Description :

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.

Primary Skills : AWS, Sagemaker, Azure DevOps , Terraform,CI / CD Pipeline Build

Secondary Skills : Linux, Docker Containers, Kubernetes

Role Description :

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.

Role Responsibility :

• 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.

Role Requirement :

Additional Requirement :

(ref : hirist.tech)