Site Reliability Engineer
Posted Updated 11
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Summary
Site Reliability Engineer (8-12 yrs) in Bengaluru: design and operate production platforms on AWS/GCP and Kubernetes/OpenShift, build low-risk deployment pipelines, write Python automation for reliability and incident response, and establish monitoring/observability, with generative AI applied to operations.
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.
- Strong 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.
