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 robust 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.