DevOps Engineer (AI Platform)
Zensar Technologies (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 8–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement CI/CD pipelines and automate infrastructure provisioning for AI solutions using tools like Terraform or Bicep.
- Manage AI environment deployments across development, testing, and production stages, ensuring scalable, secure, and reliable service delivery.
- Implement monitoring, logging, observability, and automated rollback strategies for AI platform services and model deployment pipelines.
Minimum Requirements
- Proficient in Azure DevOps or GitHub Actions for pipeline creation.
- Experience with Terraform or other Infrastructure as Code tools such as Bicep.
- Familiarity with Kubernetes/containerization and monitoring tools like Application Insights or Prometheus.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in AI platform deployments and managing MLOps or model lifecycle pipelines.
- Comfortable working with secure cloud networking and access control configurations.
- Capable of handling scalable deployment automation and resilience strategies within AI-driven environments.