Job Description :

Design and operate cloud platform environments supporting Operational AI and automation workloads.

Key Responsibilities :

- Build secure, scalable infrastructure across Azure and/or GCP using platform engineering best practices.

- Develop and maintain CI/CD pipelines for application and service delivery.

- Implement Infrastructure as Code and automation for repeatable environment provisioning and configuration.

- Support containerized workloads on Docker and Kubernetes with strong operational controls.

Skills Required :

- 5 - 8 years of relevant experience in DevOps, Platform Engineering, SRE, or Cloud Engineering.

- Hands-on experience with Azure and/or GCP in production environments.

- Strong platform engineering background across Linux, networking, identity, and security fundamentals.

- Experience with scalable container platforms, CI/CD workflows, and infrastructure automation.

- Practical experience with deployment pipelines, environment management, and operational support for cloud services.

Good to Have :

- Experience with AI/ML workloads, Azure OpenAI, Azure AI Services, GitHub Actions, Azure DevOps, FinOps, Grafana, Loki, ITSM, AIOps, and Service Operations.