Description :

Role Overview :

- Hands-on position focused on Kubernetes, AWS (mandatory), GCP, and Python automation

- Design and maintain highly available Kubernetes systems; define/enforce SLOs, SLIs, error budgets

- Lead incident response, RCA, and postmortems; drive automation for reliability improvements

- Architect observability platforms using Prometheus, Grafana, OpenTelemetry, GCP Monitoring; set actionable alerting standards

- Operate GKE/EKS clusters; manage containerized workloads with Docker; deploy services via Helm

- Develop Python-based automation and reliability tools; integrate CI/CD pipelines with observability checks

- Mentor junior engineers; influence architecture decisions; collaborate across engineering teams

Candidate Profile :

- Bachelors degree in Computer Science, IT, Engineering, or related field (Masters preferred)

- 6-10 years in Site Reliability Engineering or related roles

- Strong Kubernetes (GKE/EKS) expertise

- Mandatory AWS experience; GCP exposure preferred

- Skilled in Python automation and CI/CD integration

- Experience with observability tools (Prometheus, Grafana, OpenTelemetry)

- Proven track record in incident response, RCA, and postmortems

- Ability to mentor engineers and influence architecture decisions