Senior Site Reliability Engineer

We are seeking a Senior Site Reliability Engineer to own the reliability, observability, and operational health of production AI systems, bridging the gap between deployment and long-term operability while embedding cost, security, and quality discipline into every solution's lifecycle.

Own deployment end-to-end, including infrastructure as code, CI/CD pipelines, and environment management on Azure, ensuring every environment is rebuildable from source Build LLM-aware observability with traces on every model call, production quality signals such as eval sampling, drift detection, and guardrail-trigger rates, plus cost and latency dashboards Define and defend SLOs covering availability, latency, and quality objectives per solution, balancing delivery speed against stability with data-driven error budgets Run incident management, including on-call models, runbooks written before incidents occur, and blameless postmortems afterward Manage the cost of intelligence by monitoring token economics per solution, wiring in budgets and alerts, and conducting capacity planning proactively Keep the security posture current through patching, secret rotation, access reviews, and audit readiness across the solution's entire lifecycle Shape operability requirements before handover, ensuring they land in the pod's definition of done, and run hypercare jointly with sign-off on what will be operated Feed operational patterns, failure modes, and cost learnings back to the pods an