Software Engineer, Facilities Pipeline

FluidStack
Austin, New York, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 269,000 - 317,000 annuallyFunction: Software EngineeringSkills: ["Extreme ownership","Debugging","Data quality focus","Speed","First principles thinking"]

Build and run the facilities telemetry data pipeline—ingesting, transforming, and serving data from every site. Ship reliable connectors for industrial protocols and vendor APIs (BACnet, Modbus, OPC UA), own data quality with validation and backfill tooling, and deliver clean APIs/datasets for dashboards, controls, and ML. You’ll work end to end, test for correctness/latency/gaps, and debug from sensors through queries using modern, AI-assisted development.

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FursaFursa
FluidStack
FluidStack
1 month ago

Software Engineer, Facilities Pipeline

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and run the facilities telemetry data pipeline—ingesting, transforming, and serving data from every site. Ship reliable connectors for industrial protocols and vendor APIs (BACnet, Modbus, OPC UA), own data quality with validation and backfill tooling, and deliver clean APIs/datasets for dashboards, controls, and ML. You’ll work end to end, test for correctness/latency/gaps, and debug from sensors through queries using modern, AI-assisted development.
Location: Austin, New York, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Build the facilities data pipeline for ingestion, transformation, and telemetry serving.
  • •Develop and maintain connectors for BACnet, Modbus, OPC UA, and vendor APIs.
  • •Ensure data quality via validation, gap detection, and backfill tooling.
  • •Serve consumers with clean APIs and datasets for dashboards, controls, and ML.
  • •Own and operate pipeline reliability, including on-call support and end-to-end debugging.

Pay and Benefits

Salary: USD 269,000 - 317,000 annually

Key Requirements

  • •Ship production data pipelines and own them on call.
  • •Integrate with industrial protocols or vendor APIs and make them reliable.
  • •Test data code for correctness, latency, and gaps.
  • •Debug across the stack, from sensors through to slow queries.
  • •Work fast with modern tooling and AI-assisted development.
Experience:Data pipelinesIndustrial protocolsIoTTime-seriesML
Skills:Extreme ownershipDebuggingData quality focusSpeedFirst principles thinking
Tech Stack:BACnetModbusOPC UAGoPythonTypeScriptGrafanaData pipelinesAPIsDashboardsML

Company Brief

FluidStack
Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.
Industry: Cloud Computing
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: New York, United States
Founded: 2017
Glassdoor
Glassdoor: 4.7
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