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Job description

Key Skills: Linux, Azure, Containerization (Docker, Kubernetes), Network, GCP, DevOps, AI/ML Roles and Responsibilities: • Design and operate cloud platform environments supporting Operational AI and automation workloads. • 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 to 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. Education: Any Graduation or Any Post Graduation.

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