Sony - Site Reliability Engineer - Observability Services

Reliability & Operations :

- Design, implement, and maintain highly available and resilient systems in Kubernetes-based environments

- Define and enforce SLOs, SLIs, and error budgets

- Lead incident response, RCA, and postmortems

- Drive reliability improvements through automation

Observability (Core Focus) :

- Architect and operate observability platforms for metrics, logging, tracing, and alerting

- Work with Prometheus, Alertmanager, OpenTelemetry, Grafana, Loki / ELK / OpenSearch

- Implement cloud-native monitoring (GCP Cloud Monitoring & Logging preferred)

- Establish actionable alerting standards

Cloud & Platform Engineering :

- Build and manage infrastructure on GCP (preferred) or AWS

- Operate Kubernetes clusters (GKE preferred)

- Deploy services using Helm

- Manage containerized workloads using Docker

Automation & Tooling :

- Strong Python skills with emphasis on reliability, automation, and observability tooling

- Develop automation and tooling using Python

- Create internal reliability and monitoring tools

- Integrate CI/CD pipelines with observability and reliability checks

Collaboration & Leadership :

- Mentor junior engineers

- Influence architecture decisions

- Collaborate across engineering teams

Project Details :

- Project Details / What Youll Work On Build and operate a centralized observability platform for metrics, logs, traces, and alerting across Kubernetes workloads using Prometheus, Grafana, OpenTelemetry, and GCP Cloud Monitoring

- Define and drive SLOs, SLIs, and error budgets to improve reliability, reduce MTTR, and guide release decisions

- Design, operate, and optimize EKS/GKE-based Kubernetes platforms using Helm and containerized workloads with Docker

- Develop Python-based automation and tooling for observability, SLO reporting, incident response, and operational workflows

- Lead incident response for production issues, conduct blameless postmortems, and drive long-term reliability improvements

- Optimize platform scalability, performance, and cloud cost efficiency with a strong focus on GCP and AWS.

- Act as a technical leader, influencing architecture and mentoring teams on reliability and observability best practices