Job Overview
Location
Austin, TX
Job Type
Full-time
Category
Engineering
Date Posted
July 9, 2026
Full Job Description
đź“‹ Description
- • We exist to make humanity more free by building frontier compute infrastructure for AI.
- • The Facility Software Automation team owns the infrastructure underpinning the platform, including cluster architecture, deployment configuration, and operational reliability.
- • The role requires owning and managing containerization workflows and CI/CD pipelines for telemetry services, driving infrastructure-as-code standards, and owning the observability layer.
- • The team is singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack.
- • The role requires working directly with engineers to take new telemetry services from first commit to production-ready deployment.
- • The team operates with extreme ownership, velocity, first principles, and a love of the game.
🎯 Requirements
- • You have owned container-based infrastructure in production: designed the architecture, debugged the failure modes that only appear under load, and carried the pager for it.
- • You treat telemetry pipeline health and data integrity as non-negotiable, since the automation that delivers compute to customers depends entirely on the reliability of the data flowing underneath it, and you build and operate accordingly.
- • You have hands-on experience with containerization technologies (Docker, Kubernetes, or equivalent) and have used them to build deployment workflows that engineering teams depend on without thinking about it.
- • You have built CI/CD pipelines that engineers actually trust, where a merged PR reaches production safely without anyone watching over it, and you understand modern development workflows well enough to build them from scratch.
- • You drive infrastructure-as-code as a functioning discipline: every environment change is version-controlled, reviewed, and auditable, and you hold the platform to that standard.
- • You have built observability stacks from scratch (Prometheus, Grafana, OpenTelemetry) and you know the difference between a dashboard that looks good and one that actually catches problems before they become incidents.
- • You have worked in environments where reliability matters because real operational decisions depend on the data flowing correctly, not just internal tooling.
- • Bonus: GitOps deployment tooling (ArgoCD, Flux, or equivalent). NATS and ClickHouse operational experience, tuning, capacity planning, failure recovery. Compute or critical infrastructure telemetry environments. Experience deploying and operating services at scale across distributed sites.
🏖️ Benefits
- • Compensation: $250,000 - $300,000 per year, depending on experience, skills, qualifications, and location.
- • Offers equity in the form of stock options.
- • We are committed to pay equity and transparency.
- • Fluidstack is an Equal Employment Opportunity Employer.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About FluidStack Inc.
FluidStack Inc. operates a distributed cloud platform that aggregates under-utilized GPUs in data centers and individual machines worldwide, renting them on-demand to AI researchers, startups, and enterprises for training and inference workloads. The company automates deployment, security, and billing, offering prices up to 80% below traditional hyperscalers while providing instant access to high-end NVIDIA A100, H100, and consumer GPUs through a single API and web console. Headquartered in London, FluidStack targets machine-learning engineers who need scalable, low-cost compute without long-term commitments, claiming thousands of active nodes and customers including Fortune 500 enterprises and leading research labs.
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