Fluidstack
Distributed Systems Engineer
$208K–$269K
San Francisco, CA +3 · On-site · Full-time · Posted Jul 5, 2026
- Location
- San Francisco, CA
New York, NY
Austin, TX
Seattle, WA
About the job
Build and operate the distributed systems, observability platform, APIs, and control plane used to manage Fluidstack’s hyperscale compute fleet.
What you'll do
- Build data pipelines, correlation tools, and health checks to monitor fleet health from sites to devices and links.
- Design infrastructure APIs and a Kubernetes-based control plane for machine management, state inspection, and distributed commands.
- Maintain fleet state as a source of truth and integrate new hardware and sites through provisioning infrastructure.
What they ask for
- Experience shipping production services that other teams depend on at scale.
- Fluency with AI tooling, including LLM APIs, MCP servers, agentic frameworks, and daily use of Claude Code, Cursor, or similar.
- Comfort working in any programming language using AI coding tools.
Nice to have
- Distributed systems, data pipeline engineering, observability, API design, workflow orchestration, or hardware telemetry experience.
- Go, Python, and Postgres.
Pay
$208K – $269K USD total compensation
Tools
Kubernetes, LLM APIs, MCP servers, Claude Code, Cursor, Prometheus, Thanos, VictoriaMetrics
AI focus
Use AI coding tools in daily development and work with LLM APIs, MCP servers, and agentic frameworks.
Model-written summary · the original posting is authoritative