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About the role
Responsibilities Own the reliability, availability, and performance of microservices and production workloads. Design and improve resilient infrastructure on GCP, with strong emphasis on Cloud Run, Kubernetes, and containerized services. Build and maintain observability across logs, metrics, tracing, alerting, and service health so issues are detected early and resolved quickly. Improve deployment safety through stronger CI/CD pipelines, release controls, rollback strategies, and environment consistency. Lead incident response and production readiness practices, including runbooks, postmortems, on-call hygiene, capacity planning, and resilience testing. Reduce operational toil by automating repetitive work and improving tooling for engineers supporting distributed services. Partner with development teams to improve the operability, scalability, and fault tolerance of microservices early in the design lifecycle. Strengthen cloud security and infrastructure hygiene across IAM, secrets management, workload hardening, and production safeguards. Improve service performance, resource efficiency, and cloud cost management without compromising reliability. Support architecture and reliability reviews for critical services and high-traffic business 5+ years of experience in Site Reliability Engineering or closely related DevOps roles with meaningful production ownership. Robust experience running production systems on Google Cloud Platform. Hands-on experience with Cloud Run, Kubernetes, and container-based microservices in production. Strong experience with infrastructure as code, particularly Terraform and Terragrunt. Strong understanding of observability using tools such as OpenTelemetry, Cloud Monitoring, New Relic, or equivalent systems. Robust understanding of distributed systems, microservice failure modes, reliability engineering, and production debugging. Experience building or improving CI/CD pipelines and release workflows in modern engineering settings, incl .
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