DevOps Engineer (AI Platform)
Zensar Technologies (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 9–16 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement CI/CD pipelines and infrastructure automation to deploy AI platform solutions.
- Manage deployment environments, including secure configuration, networking, and access controls for AI services.
- Ensure scalability, reliability, monitoring, and automated rollback of AI model deployment pipelines and agents.
Minimum Requirements
- Experience with Azure DevOps or GitHub Actions for CI/CD.
- Proficiency in Terraform or similar Infrastructure as Code tools.
- Knowledge of Kubernetes and containerization.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience with AI or MLOps platform deployments and model lifecycle management.
- Strong skills in cloud networking, security, and monitoring tools relevant to AI environments.
- Operationally focused on scalable, secure, and automated deployment of AI services in production-grade environments.