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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 Closes in 2d
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 the scalability of AI agents.

What they look for

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

Requirements

Candidates must have 6 to 10 years of experience with expertise in Azure DevOps, Terraform, and Kubernetes. Proficiency in cloud networking, security, and MLOps pipelines is required for this role.

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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