Key Skills: AWS Cloud, Python, GCP, Kubernetes, GitHub, Deployment, Gen AI

Roles and Responsibilities:

- Design and operate reliable production platforms across AWS, Google Cloud, and Kubernetes environments.

- Build and improve deployment pipelines that support controlled, repeatable, and low-risk releases.

- Develop Python-based automation for infrastructure operations, service reliability, and incident response.

- Establish monitoring, observability, alerting, and service health practices for production workloads.

- Support OpenShift Container Platform environments and improve operational resilience across distributed services.

Skills Required:

- 8-12 years of experience in SRE, platform engineering, DevOps, cloud infrastructure, or production operations.

- Robust hands-on experience with deployment, deployment pipelines, GitHub, and production release practices.





- Advanced Python experience for automation and reliability engineering.

- Practical expertise with Kubernetes and OpenShift Container Platform (OCP).

- Experience operating cloud platforms, including AWS, Google Cloud Platform, or Azure.

- Strong knowledge of observability, monitoring tools, and reliability practices for production services.

- Experience applying generative AI solutions in engineering or operational environments.

Good to Have

- Additional experience applying generative AI to platform engineering, operations, or service reliability.

Education: B.E., B.Tech, or B.Sc. in Computer Science, Information Technology, or a related discipline.

📌 Site Reliability Engineer (Bengaluru)
🏢 Careernet
📍 Bengaluru