BS/MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Operations Research, Aerospace Engineering, or a related quantitative field.

10+ years of software engineering experience, mostly backend

You've owned a production backend, not just contributed to one. We'll ask what you ran, what broke at 2am, and what you changed afterward

At least one major migration you led on a live system with real users. Tell us how it went, including the parts that didn't

Experience with high-volume or real-time data: streaming, ingestion, time-series, or similar

Strong opinions on API design

Cloud infrastructure (AWS, GCP, or similar), infrastructure as code, and monitoring you actually rely on

You can make architecture calls with incomplete information and explain them to people who aren't engineers

Comfort using AI tools as a core part of how you build, with the judgment to know when the output is wrong

Bonus Qualifications:

Geospatial data experience

You've run a public or commercial API, including the billing and rate-limiting side of it

Staff Software Engineer, Backend

Responsibilities