Job Description:Key Qualifications & Technical SkillsCore Requirements:Experience: 8+ years of professional software engineering experience in large-scale distributed systems.Primary Language: Strong proficiency in Python for infrastructure automation, tool development, and configuration.Infrastructure Mastery: Deep understanding of distributed systems architecture, multi-cell/multi-region environments, and container/resource management orchestration (e.G., Borg or equivalent large-scale cluster management).CI/CD Systems: Strong experience managing and optimizing Continuous Integration pipelines (presubmit, nightly builds, test quarantine frameworks).Preferred/Helpful Skills:Familiarity with Java, J2EE,
or C++ to quickly comprehend and navigate the broader BigQuery codebase context.Prior experience building or working directly with Google-specific infrastructure tools (Borg, Cellmate, Flex API).Familiarity or exposure to AI/ML agentic workflows for automated system triage and log/latency analysis.Key Performance Indicators (KPIs)Your success in this role will be measured by the stability of the non-production environments and code health metrics:Changelist (CL) Quality: Maintain a $ Ge$ 90% CL pass rate (definedas change lists requiring < 5 review rounds).Toil Reduction: Measurable reduction in manual interventions for BigQuery SWEs through durable automation.#J-18808-Ljbffr