Own reliability outcomes across the evaluation infrastructure stack: orchestration, capacity, and service health Own runbook quality across the team: author runbooks for complex failure categories and set the bar that guides other engineers to produce the same quality Build deep expertise in the device orchestration and provisioning layers - understand quota management, retry behavior, and failure modes well enough to diagnose upstream issues independently Instrument infrastructure components that lack observability; if a failure is hard to detect, make it easy to detect before the next occurrence Balance incident response with proactive reliability work - automation and eliminating recurring failures are core deliverables Partner on SLO definition and burn-rate alerting; bring the operational depth that turns reliability targets from aspirational to measurable Influence the team's technical roadmap, mentor junior SREs, and represent infrastructure reliability posture to leadership and in cross-team reviews5+ years of site reliability, infrastructure, or platform engineering experience with direct on-call ownership in production systems Hands-on orchestration experience (Kubernetes or equivalent): cluster health, resource management, scheduling, and failure diagnosis at scale Experience owning or closely operating a device or VM provisioning pipeline; familiarity with virtualization-layer failure modes is a strong plus Track record of improving system reliability against measurable outcomes - uptime, MTTR, incident frequency - not just responding to incidents but eliminating their causes Incident command discipline: able to lead a multi-team incident from declaration to close-out Depth in at least one of: distributed systems reliability, device management infrastructure, evaluation or ML platform operations Demonstrated cross-team technical influence; prior experience shaping reliability practices beyond the immediate team. Within ERE, Core SRE owns the production backbone: resource management, session orchestration, on-call response, and the observability systems that surface failures before they corrupt evaluation signal.