Note: The job is a remote job and is open to candidates in USA. Urū Partners is recruiting for an unnamed sports technology company. The Senior Full-Stack Engineer will build scalable, data-driven software, own features from data model through production interface, and help shape the company’s engineering standards.
Responsibilities
- Own features end to end, from data model through API to production interface, on a weekly release cadence
- Build interfaces that make dense sensor and performance data legible at a glance: charts, dashboards, and athlete views that hold up on a phone at a practice facility
- Design and evolve the data model behind our core metrics, including time-series session data, and make the modeling calls that determine what the product can do a year from now
- Scale the data pipeline and AWS infrastructure as the company adds markets, languages, and camera and video ingest. Set the engineering standards this team will run on: code review norms, testing, and decide what to build next
- Work directly with the CEO, Principal Engineer, and Lead Data Scientist on what ships and why, including requirements, architecture, and tradeoffs
Skills
- 7+ years building production full-stack applications, with at least 3 years in data-intensive products
- Strong front-end craft in React and TypeScript, including data visualization work (D3, Recharts, or equivalent)
- You should be able to show shipped interfaces you designed the look and behavior of, not just wired up
- Real fluency with relational data modeling and query performance on large tables
- You understand how a schema decision today becomes a downstream problem later
- Experience shipping on AWS in a production environment
- A track record of owning a feature from spec to production without a platform team, SRE team, or dedicated QA behind you
- Clear written communication and a genuine interest in mentoring
- Large company experience is a plus if it comes with evidence you can operate without that support structure
- Familiarity with athletic performance data or coaching workflows in any sport
- Experience shipping user-facing AI features, or heavy use of AI coding tools in your own workflow
- Embedded, IoT, or sensor data experience
- Comfort working across time zones with a distributed team
- Passionate around the sports technology ecosystem
- Being a former athlete is really nice to have
Benefits
- Fully remote; work from anywhere
Company Overview