About the RoleBuild the systems that screen every hospital patient, every day.HealthLeap processes billions of data points from hospital EHRs - labs, vitals, clinical notes, structured records - and turns them into real-time risk scores that clinicians rely on every morning. You'll build the backend systems and infrastructure that make this possible.
Why youYou've built systems that handle real scale - not toy projects, real data, real users, real uptime requirements. You've debugged distributed systems at 2am. You've dealt with messy third-party APIs that had no documentation. You're the person who figures things out when the docs don't help.
What you'll do- Build data pipelines that process millions of patient records daily
- Parse 50,000+ clinical notes per patient using LLMs - without hallucinating
- Own infrastructure on AWS and Kubernetes - deploy it, monitor it, fix it when it breaks
- Design systems for high concurrency and reliability - clinicians depend on this every morning
- Build feature engineering pipelines for ML models
What we're looking for- 5+ years backend engineering experience
- Deep experience with distributed systems and highly concurrent workloads
- Solid with databases, data pipelines, ETL processing
- Comfortable with AWS, Kubernetes, and infrastructure-as-code
- You figure things out - even when documentation doesn't exist
Nice to have- Experience with healthcare data standards (FHIR, HL7v2)
- Background in LLM infrastructure or applied AI systems
This role is NOT for you if- Startup unpredictability feels like chaos to you. We find it exciting.
- You need detailed specs before you start. We figure it out as we go.
- You've never owned something end-to-end. Here, you own outcomes, not tasks.
- You wait to be told what to do next. We need people who see what's needed and do it.
- You're looking for a 9-5 with predictable hours. We care about deep work and deep rest (we have a minimum leave policy), but when a hospital go-live is on the line, we show up - even if that means a 60+ hour week.
- You see collaboration as interruption. We see it as leverage. The best engineers here are constantly pulling each other in - quick Slacks, 5-minute calls, shared context. If you prefer to work in isolation, this isn't the right fit.
Interview process- Intro call - Get to know each other
- Technical - 1-2 interviews
- Onsite - Coding, case study, team meet
- Decision - Same week as onsite
We respect your time. If there's a fit, you'll know fast.
Compensation & Benefits- Salary: $200,000 - $275,000 base
- Equity: Meaningful ownership in an early-stage company
- Healthcare: 100% of premiums covered
- PTO: Unlimited, with a recommended minimum of 20 days
- 401(k): 4% match
- Equipment: Laptop + budget for your home office
LocationSan Francisco - in person. (Will cover relocation costs)
If you're passionate about applying frontier AI to real-world impact, join us in building healthcare's future.
