Software Development Engineer in Test (SDET)
Stack: E2E Automation (UI & API), CI/CD, Mapbox/MapLibre, Agentic AI (Claude, Cursor)
Mission: Owning the production quality gate for a high-resolution AI weather and orbital intelligence platform.
Tired of acting as a manual bug-catcher in slow-moving QA silos where you never touch real production code?
A high-growth global space-data platform just engineered a massive AI-driven weather forecasting engine delivering high-frequency global updates. They need an engineering-first SDET to take full ownership of the staging-to-production quality gate for their flagship visual intelligence platform serving commercial aviation, utilities, and logistics.
This isn't a traditional click-testing role. You'll use frontier agentic AI workflows daily to build synthetic data generators, automate complex spatial UI validation, and ship production bug fixes directly.
Why Build Here:
- AI-First Velocity: Leverage frontier agentic coding tools (Claude, Cursor) daily to accelerate test architecture, synthetic tooling, and debugging.
- Total Gatekeeper Autonomy: Own the CI/CD quality gates and make the final call on when staging releases are ready for production deployment.
- Production Code Contribution: Don't just file tickets—contribute production code, bug fixes, and features directly to the frontend and platform repos.
- High-Resolution Spatial Scale: Validate complex, live-updating geospatial models and visual telemetry with zero corporate bureaucracy.
The Tech & Work:
- Write and maintain automated end-to-end tests across complex spatial frontend workflows and backend REST APIs
- Validate high-frequency asynchronous data updates (forecast uncertainty, data freshness, and live alert severity)
- Inspect visual model outputs on interactive dashboards to catch rendering anomalies and data artifacts before release
- Build custom test tooling and synthetic data generators to simulate reproducible edge-case scenarios
- Own CI/CD pipeline quality gates and ship direct production fixes across frontend and platform codebases
Hard Filters:
- U.S. Citizen or Green Card holder
- Proven software engineering background with production coding experience alongside E2E automation (UI, API, and CI/CD)
- Demonstrated daily fluency with frontier AI models and agentic coding tools (Claude, Cursor, Copilot) to ship and validate code rapidly
- Hands-on experience testing complex frontend state, asynchronous real-time data streams, and system failure modes
- Based in (or willing to relocate to) the Denver/Boulder, CO area for a hybrid schedule (3+ days/week onsite)
- Bonus: Experience with spatial visualization libraries (MapLibre, Mapbox, deck.gl) or weather, aviation, and geospatial datasets