Note: The job is a remote job and is open to candidates in USA. Urū Partners is recruiting for an innovative sports technology company that builds data-driven platforms for athletic performance. The Senior Full-Stack Engineer will own features end to end, develop scalable data infrastructure and AWS systems, build interfaces for sensor and performance data, and collaborate with company leadership and data science teams.
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. Large company experience is a plus if it comes with evidence you can operate without that support structure
- Clear written communication and a genuine interest in mentoring. On a team this size, how you explain a decision matters as much as the decision
- Familiarity with athletic performance data or coaching workflows in any sport. You will be building for coaches, and knowing what they care about shortens every conversation
- 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 arrangement, with the freedom to work from anywhere
Company Overview