- Remote, United States
- Remote
- Full-time · Senior
- 5+ years
Define what reliability means for a GPU-accelerated AI platform and make it measurable. You will own the service-level indicators and objectives for the K0rdent Observability Framework (KOF) — deriving meaningful SLIs from the signals the platform already emits, and exposing them to Platform Administrators through a clean API. Work spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack.
Responsibilities
- Define SLIs and SLOs based on the signals available across the platform — Kubernetes, bare-metal hosts, and NVIDIA infrastructure (BMC, InfiniBand, NVLink, UFM).
- Design and build the API that exposes SLIs and reliability state to Platform Administrators and downstream systems.
- Establish alerting and error-budget practices that maximize signal and minimize noise.
- Partner with infrastructure, storage, and networking teams to ensure the right signals are instrumented and collected.
- Diagnose reliability and performance issues across the observability stack and drive their resolution.
Requirements
- Nice to have: Bare-metal monitoring
- Nice to have: NVIDIA infrastructure monitoring (BMC/Redfish, InfiniBand, NVLink, UFM)
- Nice to have: Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, KOF)
- Nice to have: Cluster API
- Nice to have: VictoriaMetrics/VictoriaLogs at scale