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