Senior Backend Software Engineer (Python / FastAPI)
At a glance
Senior Backend Engineering role at CHAOS Industries. San Francisco · $140,000–$240,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Develop Python services that receive radar data, process it with low delay, and distribute it securely and dependably
- Manage streaming, storage, and replay for detections, tracks, and telemetry in live and playback geospatial views
- Build the decision logic that directs sensors as conditions at field locations shift
- Guide platform design as new capabilities are added, supporting scale and long-term maintenance
What you bring
- You have substantial hands-on experience delivering Python backend services in production, using FastAPI or a comparable framework
- You have built systems for live data flows involving message queues, WebSockets, or time-series information
- You have taken a production system from initial design through launch and ongoing repairs
- You use AI coding tools effectively and make deliberate choices about what work to hand off
Who this fits
This senior individual-contributor role suits an engineer with production backend ownership and real-time data experience. You must work on-site in San Francisco or relocate to the Bay Area. The role requires U.S. Person status under export-control rules and eligibility to secure and keep a U.S. security clearance.
From the employer
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.
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