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 setting 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.

📌 Senior DevOps Engineer (Bengaluru)
🏢 Careernet
📍 Bengaluru