Product Engineering - Software Engineer
Listed on 2025-12-01
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Software Development
Software Engineer, Backend Developer, Cloud Engineer - Software
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.
Aboutthe 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.
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
- 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
- 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
- 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
- Meaningful pre-IPO equity
- Medical, dental, and vision plans 100% paid for you…
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