Product Engineering - Software Engineer

Position: Product Engineering - Staff Software Engineer
About Sprinter Health:

At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year.

By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway.

About the Role

We're looking for a Senior Backend or Full-Stack Software Engineer (5+ years experience) who wants to build the core systems that power last-mile healthcare delivery. At Sprinter, you'll work on products that blend logistics, patient experience, safety, and medical operations-building and scaling backend services, data flows, integrations, and in-product experiences that directly determine whether patients get care. From routing clinicians and powering booking flows to integrating medical devices and preventing clinical errors, you'll own complex, high-impact systems from 0→1.

If you want to solve real problems with code and ship product that changes access to care, this is that role.

Office

Location:

We are a hybrid company based in the Bay Area with offices in both San Francisco & Menlo Park. We care about work-life balance, and understand that there will be times where flexibility is needed.

What you will you do:

* Design and build backend services and APIs that power patient booking, clinician routing, logistics, and device integrations

* Ship full-stack product features end to end, from data modeling and business logic to UI and user flows (if full-stack)

* Solve complex operational challenges like scheduling, dispatch, safety checks, and error prevention at scale

* Integrate with external health systems, telemedicine platforms, and medical devices in a reliable, secure way

* Work closely with product, data, ops, and clinical teams to turn real-world problems into shipped software

* Own projects from 0→1, make architectural decisions, and help evolve our engineering practices as we scale

What you have done:

* Spent 8+ years building and scaling backend or full-stack systems in production

* Experience mentoring engineers and overseeing large scale projects

* Designed APIs, data models, and services that power real user-facing products

* Led projects or pods end to end - from architecture and planning to delivery and iteration

* Mentored junior and mid-level engineers through code reviews, pairing, and technical guidance

* Shipped features independently and in collaboration with product, data, ops, or design partners

* Built in environments where speed, reliability, and ambiguity coexist - startups, high-growth teams, or 0→1 products

* Made technical decisions that balanced execution speed, scalability, and long-term maintainability

What gives you an edge:

* You've built or scaled products in health tech, logistics, or other operationally complex environments

* You understand supply/demand dynamics - forecasting, routing, scheduling, or inventory management

* You've scaled backend systems to support rapid growth, high-volume data, and evolving business needs

* You've worked in mid- or growth-stage startups (Series A-C) where speed and ambiguity were the norm

* You're comfortable working with data platforms, pipelines, or large-scale data processing

* You know your way around regulated environments - HIPAA, security, and privacy best practices

The Interview Process

* We aim to complete the interview process between 2-3 weeks. It will usually consist of:

* Recruiter Screen (30-Minutes)

* Hiring Manager Introduction (30-Minutes)

* Technical Assessment (45-Minutes)

* Onsite Interview:
Systems Design + Behavioral Interview + Lunch with the Team (3-hours)

* References

What we offer

* Meaningful…