FluidStack
Software Engineer, Facilities Pipeline
Austin, TX$269k–$317kfulltimemidAdded today
About this role
Build and operate the data pipeline infrastructure that ingests, transforms, and serves telemetry from Fluidstack's AI compute data centers. You'll own connectors for industrial protocols like BACnet and Modbus, ensure data quality, and provide clean APIs for dashboards and ML systems across a rapidly scaling fleet.
What you'll do
- Design and ship production data pipelines for ingesting telemetry from multiple sites
- Build reliable connectors for industrial protocols (BACnet, Modbus, OPC UA) and vendor APIs
- Implement data validation, gap detection, and backfill tooling
- Serve clean APIs and datasets to downstream consumers (dashboards, controls, ML teams)
- Own on-call support and debug issues from sensors to database queries
- Drive velocity on pipeline development using modern tooling and AI-assisted coding
What they're looking for
- Production data pipeline design and deployment
- Industrial protocol integration (BACnet, Modbus, OPC UA)
- Python or Go or TypeScript
- Time-series data systems
- Data validation and quality testing
- API design and backend services
- IoT/industrial data experience
- Debugging across full stack
Opens the official application on the employer’s site. No login required.
FluidStack
FluidStack builds AI infrastructure at scale, developing data centers and warehouse operations designed to handle gigawatt-capacity compute deployment. The company is hiring for warehouse engineers, data center operations specialists, product engineers, and people leaders to support rapid infrastructure expansion across multiple sites.
- Website
- fluidstack.io
Likely interview questions
- Walk us through a production data pipeline you've owned end-to-end—what went wrong and how did you fix it?
- Describe your experience integrating with industrial protocols or vendor APIs. What made them difficult and how did you ensure reliability?