mochihealth
Senior Fullstack Engineer
At a Glance
- Location
- San Francisco, California, United States
- Experience
- 7+ years
- Compensation
- ays/week onsite) Salary Band: $230,000 - $280,000 (Open to Staff leveling at $2
- Posted
- 2026-03-17T13:39:16-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Healthcare
- Regulatory
Benefits & Perks
charge ā Enjoy unlimited PTO, generous company holidays, a
Requirements
You have operated high-stakes systems.
You have 5-7+ years of full-stack engineering experience. You've built and operated production systems that handle real complexity, crossing the boundary between complex backend domain logic and polished frontend user experiences.
You master client-side state and performance.
You know how to manage complex state across a large frontend application. You understand the tradeoffs of server-side rendering vs. client-side fetching, caching strategies, and how to build interfaces that feel instantaneous even when the underlying healthcare APIs are slow.
You get data modeling right.
You think carefully about schema design and API boundaries, because you've seen what happens to the frontend when the foundational backend model is wrong.
Responsibilities
Build High-Density Healthcare Interfaces:
You will build the complex tools our clinical team relies on to treat patients safely. You will architect dynamic, multi-step medical intake engines, high-density provider charting dashboards, and patient-facing apps that handle sensitive PHI with perfect state synchronization.
Bridge Clinical & Client:
Connect our complex backend medication ordering and fulfillment pipelines to intuitive, highly responsive frontend interfaces. You will translate dense healthcare requirements into seamless digital experiences.
Champion the User Experience:
You don't just implement specifications; you deeply care about how patients and providers experience Mochi. You sweat the details of the UI and possess the strong product sense required to make pragmatic, high-quality design decisions on the fly that measurably improve patient outcomes.