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

Key Skills

Education

Any Graduate