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Zensar

DevOps Engineer (AI Platform)

Zensar Bangalore South, Karnataka, India

IT Services and IT Consulting · 10,001+ employees

8 h ago
devops Senior (5-10 yrs) Full-time India
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About the role

The DevOps Engineer will design and implement CI/CD pipelines for AI solutions while automating infrastructure provisioning. They are also responsible for managing AI environment deployments, monitoring services, and ensuring scalable deployment of agents.

What they look for

Azure DevOps GitHub Actions Terraform Infrastructure as Code Kubernetes Containerization Application Insights Prometheus Cloud Networking Cloud Security AI Platform Deployments MLOps Pipelines Model Lifecycle Management

Requirements

Candidates must have 6 to 10 years of experience and proficiency in Azure DevOps, Terraform, and Kubernetes. Experience with MLOps pipelines and model lifecycle management is preferred.

Full description

Key Responsibilities

  • Design and implement CI/CD pipelines for AI solutions.
  • Automate infrastructure provisioning using Terraform or Bicep.
  • Manage AI environment deployments across dev, test, and production.
  • Implement monitoring, logging, and observability for AI services.
  • Configure secure environment setup, networking, and access controls.
  • Manage model deployment pipelines and versioning.
  • Ensure scalable and reliable deployment of agents.
  • Implement automated rollback and resilience strategies.

Required Skills

  • Azure DevOps / GitHub Actions
  • Terraform / Infrastructure as Code
  • Kubernetes / containerization
  • Monitoring tools (Application Insights, Prometheus, etc.)
  • Cloud networking and security

Preferred Experience

  • AI platform deployments
  • MLOps pipelines
  • Model lifecycle management

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