Software Engineer, Facilities
Austin, TX, San Francisco, CA, Seattle, WA$224k - $264k + equityFull-timePosted 3mo ago
About the role
Role focused on building production services for Fluidstack's Facility Controls Team, enabling telemetry, device integrations, and control APIs for data-center infrastructure. On-site roles across multiple U.S. cities.
Responsibilities
- Build and own the services other teams depend on. Device integrations, telemetry pipelines, equipment models, and APIs need to work together across sites.
Qualifications
- Experience building large-scale software systems that process large volumes of data.
- Shipped production code in Go, Python, or TypeScript and ability to adapt to problem demands.
- Experience with high-throughput messaging systems (e.g., NATS or Kafka) and understanding of ordering, delivery guarantees, backpressure, and tradeoffs between concurrency and correctness.
- Designed data models for large volumes of time-stamped data; able to reason about write throughput, query performance, retention, and schema evolution.
- Instrumented production services with metrics, logs, and profiling; demonstrated impact of instrumentation on performance or incident response.
- Able to design before building, explain design choices, and justify alternatives.
- Defined interfaces and failure boundaries; accounted for unavailability of dependencies and tested failure/recovery paths.
- Experience tracing data from source through services and storage, handling missing/duplicate/late/invalid data, and treating stale values differently.
- Bonus: Prior datacenter or controls experience.
Skills
Required:GoNATSGo, NATS, Redis, ClickHouse, Protobuf/gRPC, Kubernetes
Nice to have:PythonTypeScriptKafka
Last updated Oct 6, 2026. Interested? Apply on the company site.
About Fluidstack
Fluidstack builds civilization-scale infrastructure for AI
Fluidstack builds civilization-scale infrastructure for AI, delivering gigawatts of compute in 6 months. We're leading the deployment of Anthropic's $50B compute build out.
AI infrastructurecompute centershardwaresoftwarepowerdata centersAnthropicfrontier compute
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