Backend Engineer
Production Engineer owning observability, control plane APIs, fleet state, and new hardware integration for hyperscale GPU infrastructure at an AI compute company. Requires strong automation mindset, on-call experience, and fluency with AI coding tools; distributed systems and observability stack experience preferred.
About the job
Responsibilities
- Own the observability platform: build and operate data pipelines, decoration and correlation engine, and healthcheck framework that make the fleet legible from site down to device and link.
- Define and build the API surface for infrastructure: design contracts between production infrastructure and every tool that touches it.
- Build the production control plane: unified machine management, actual state inspection, distributed command execution, and the Kubernetes-based infrastructure that underpins it.
- Own fleet state as source of truth: SLOs, site lifecycle state, and integration with internal infrastructure management and customer-facing operations platforms.
- Land new hardware into the platform cleanly: ZTP, DHCP, DNS, artifacts for every new XPU generation and site integration.
Requirements
- Treat toil as a bug and automate repetitive tasks.
- Design APIs that age well and avoid leaky abstractions at scale.
- Move toward ambiguity, build the map, and explain it to others.
- Learn at a steep slope and reach competence in unfamiliar domains quickly.
- Comfortably carry a pager, run incidents, write postmortems, and fix systemic causes.
- Fluent with AI tooling including LLM APIs, MCP servers, agentic frameworks; drive Claude Code, Cursor, or similar daily.
- Shipped production services that other teams depend on at scale; comfortable in any language using AI coding tools.
Nice-to-Haves
- Distributed systems and data pipeline engineering.
- Time-series observability stacks (Prometheus, Thanos, VictoriaMetrics).
- API design and versioning at scale.
- Workflow and orchestration engines (Temporal, Cadence).
- BMC/Redfish or hardware telemetry.
- Go, Python, and Postgres.
Skills
Kubernetes, Prometheus, Thanos, Victoriametrics, Temporal, Cadence, Go, Python, Postgres, Redfish, LLM APIs, Ai Coding Tools
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