FluidStack
Development Engineer, Facility Software Automation
Austin, TX$200k–$250kfulltimemidAdded today
About this role
Fluidstack seeks a Development Engineer to own the infrastructure and automation platform for their rapidly scaling AI compute data centers. You'll design and operate the containerized telemetry stack, CI/CD pipelines, and observability systems that enable gigawatt-scale facility automation and deployment at unprecedented speed.
What you'll do
- Design and manage cluster architecture, deployment configuration, and operational reliability for the Facility Software Automation platform
- Own containerization workflows and CI/CD pipelines for telemetry services, enabling fast and safe production deployments without manual intervention
- Build and maintain the observability layer including Prometheus monitoring, alerting, and dashboards to catch telemetry issues early
- Establish infrastructure-as-code standards to ensure all environment changes are version-controlled, reviewed, and auditable
- Partner directly with engineers to move new telemetry services from development to production-ready deployment
- Ensure telemetry data integrity and pipeline health as the foundation for facility automation decisions
What they're looking for
- Kubernetes or container orchestration platform experience
- Docker and containerization technologies
- CI/CD pipeline design and implementation
- Prometheus monitoring and observability tooling
- Infrastructure-as-code (Terraform, Helm, or equivalent)
- Production systems debugging and troubleshooting
- Data pipeline and telemetry platform reliability
- Python or Go for infrastructure automation
Benefits
- Work on civilization-scale AI infrastructure problems
- Extreme ownership with end-to-end autonomy over key systems
- High-velocity environment with first-principles thinking culture
- Opportunity to shape production standards and best practices
- Austin, TX location
Likely interview questions
- Tell us about a time you owned container-based infrastructure in production—what were the biggest failure modes you debugged and how did you solve them?
- Walk us through a CI/CD pipeline you built from scratch. How did you earn engineering teams' trust to deploy without manual oversight?
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