Senior Backend Software Engineer (Python / FastAPI)

Posted 2 Hours Ago
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San Francisco, CA, USA
In-Office
140K-240K Annually
Senior level
Hardware
The Role
Build and own high-performance Python backend services and data pipelines that ingest, process, store, replay, and distribute real-time radar sensor data. Develop streaming systems, decision layers, and scalable platform architecture supporting live and playback 3D geospatial views. Ensure low latency, reliability, security, and maintainability across production systems.
Summary Generated by Built In

Senior Backend Software Engineer (Python / FastAPI)

San Francisco, CA (On-site) | $140k–$240k base + pre-IPO stock options

Build the real-time backend that turns radar sensor data into decisions people can act on.

CHAOS Industries is a defense tech company founded in 2022 that has raised $1B from investors including 8VC, Accel and Valor Equity Partners. You’ll own the backend services and data pipelines that move sensor data from radars in the field to the operators who depend on it.

What you’ll do

  • Build high-performance Python services that ingest, process and distribute real-time sensor data with low latency, high reliability and security at scale
  • Build high-performance Python (FastAPI) services that ingest, process and distribute real-time data securely at scale
  • Own streaming, storage and replay of detections, tracks and telemetry for live and playback 3D geospatial views
  • Build the decision layer that coordinates a growing fleet of sensors as field conditions change
  • Shape platform architecture for new capabilities, scale and long-term maintainability

You’re a fit if you have

  • Strong production experience building backend services in Python (FastAPI or similar)
  • Built real-time or streaming data systems: message queues, WebSockets, time-series data
  • Owned a production system end to end: designed it, shipped it, fixed it when it broke
  • Real leverage from AI coding tools, with a considered view on what to delegate and what not to
  • Based in, or willing to relocate to, the San Francisco Bay Area (this role is on-site)

Nice to have

  • Geospatial or 3D data visualization in TypeScript and React
  • Edge computing, or moving data reliably over constrained or unreliable networks
  • Azure or another major cloud platform
  • Hardware, sensors, robotics, telemetry or defense systems

What you get

  • Medical, dental and vision, 100% paid by the company
  • 401k with 50% company match up to 6% of pay, plus FSA, HSA and life insurance
  • Pre-IPO stock options, relocation assistance, and annual bonuses (coming soon)
  • Unlimited PTO and a casual dress code
  • Free daily lunch while you’re working on-site, plus a fully stocked kitchen

Pay range shown is base salary only and excludes equity, bonuses and benefits. Actual offers vary based on experience, skills and business needs.

Please note: Must be a U.S. Person as defined under U.S. export control regulations, as required for access to controlled technology, and able to obtain and maintain a U.S. security clearance.

Apply now. It takes just 2 minutes.

Skills Required

  • Strong production experience building backend services in Python, using FastAPI or a similar framework
  • Experience building real-time or streaming data systems, including message queues, WebSockets, and time-series data
  • Experience owning a production system end to end, including design, delivery, and troubleshooting
  • Ability to use AI coding tools effectively with sound judgment about delegation
  • Based in or willing to relocate to the San Francisco Bay Area
  • Must be a U.S. Person under U.S. export control regulations
  • Able to obtain and maintain a U.S. security clearance
  • Experience with geospatial or 3D data visualization using TypeScript and React
  • Experience with edge computing or reliably moving data over constrained or unreliable networks
  • Experience with Azure or another major cloud platform
  • Experience with hardware, sensors, robotics, telemetry, or defense systems
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HQ: Los Angeles, CA

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