Startups · AI

Senior Backend Software Engineer (Python / FastAPI)

Chaos · San Francisco, California, United States · On-site

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About Chaos

CHAOS Industries builds a multi-product portfolio powered by Coherent Distributed Networks (CDN TM), giving military, commercial, and border teams the ultimate advantage: domain dominance. Backed by Accel and NEA.

About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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)
More about this role

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.

  • 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
  • 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...

Read the full posting on Chaos's site ↗

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