Senior Software Engineer

About the Role Pine Park Health brings doctors and nurses to seniors where they live. We're backed by YC, First Round Capital, Gradient Ventures (Google), Averin Canvas, Foundation, Liquid 2, Box Group, and others, and we're based in the Bay Area. Pine Park has three stacked parts: • First, it is a service business. We hire doctors and send them each week to see frail seniors in their apartments, so they don't have to travel to clinics or hospitals for primary care. • Second, because house calls are expensive, we build software to make them cheap enough to scale. The software reads patient data, triages issues, handles faxes, schedules visits, orders labs, manages referrals, checks in on patients, and runs follow-up.  • Third, we have a business model that makes the first two work. We partner with Medicare and Medicare Advantage so they give us a fixed budget per patient per year based on expected medical spending. If we keep patients healthier and their total spending comes in below that budget, we keep the difference.  That allows us to run a primary care practice that makes money by pulling cost out of the most expensive parts of the system, especially hospitals.   What This Looks Like Day-to-Day The Senior Software Engineer role at Pine Park Health is 60% product and 40% engineering. So if you're looking for a startup where you just write code, Pine Park Health is not the right fit. • You'll receive a key business problem to solve, with specific test criteria for whether that problem is solved. Then you'll be responsible for owning that problem all the way through. •  That means spending time shadowing and interviewing doctors, nurses, medical assistants, and patients. It means documenting their work, understanding the key struggles and bottlenecks in it, and then suggesting ways software can help solve those problems. After that, you'll need to design a solution that involves operations, including building new workflows, design, and of course engineering and code writing. • Solving business problems requires a diverse set of skills: product, research, design, and engineering. So you'll need to collaborate with other team members to fill in any gaps in your experience. •  You'll also need to rely heavily on the AI tools the company provides, as well as the AI agents you manage, in order to perform some of the job duties where you have less experience. • Finally, you'll need to spend part of your time reviewing code for team members on the development and operations team who have less experience writing code. The goal is to make sure the quality of the code matches the architecture and that the code will not break at scale. • Some examples for problems that you will solve:  • How do you build a scheduling system that accounts for a clinician's drive time, patient acuity? • How to build software that reads and responds to faxes? • How to build agents that can pick up phone calls and triage patient issue?  •  How do you automate HCC risk adjustment coding in a way clinicians actually trust?  • How do you migrate a billing pipeline from one clearinghouse to another without dropping claims mid-flight? These are the kinds of problems on our board right now. Some of them have failed before. We're looking for someone who finds that more interesting than intimidating. What We're Looking For • 8+ years of software engineering experience • Deep full-stack fluency with modern web technologies (we use React, Remix, Node, TypeScript, Postgres, Prisma — depth of understanding matters more than framework-matching) • You've built a personal AI development workflow — configured tooling, custom prompts, sharp instincts for where the models excel and where they'll confidently lead you wrong • You function as a full owner: you scope the problem, manage the work, write the code, instrument the outcome, and close the loop. We don't have dedicated PMs on engineering projects.  Especially strong fit if: • You've been a founding engineer, tech lead, or staff engineer — someone who set technical direction, made architectural calls without a playbook, and owned the consequences. This matters most to us. • Startup experience where wearing many hats wasn't a novelty but a necessity — you've context-switched between product thinking, infrastructure, and stakeholder communication in the same week • Healthcare technology, EHR integrations, or HIPAA-regulated environments • Value-based care, Medicare, or clinical workflow automation experience • Systems where correctness really mattered — finance, healthcare, infrastructure Bonus points if you also bring depth in: • Mobile development (iOS/Android or React Native) • Security engineering • Product or design — if you've worn that hat before and liked it, this is a place where that matters Tech Stack React, Remix, TypeScript, Node.js, PostgreSQL, Prisma ORM, Google Cloud Platform. AI tools: Cursor, Claude Code. HIPAA-compliant development environment.