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This role keeps large-scale GPU cloud infrastructure reliable and efficient by defining availability metrics such as SLIs and SLOs, responding to production incidents, and building observability and automation to reduce operational toil. It requires 5+ years in production engineering, SRE, or infrastructure operations, strong Linux debugging skills, Kubernetes and cloud knowledge, and scripting ability in languages like Go or Python.