AI Infra Engineer
ABOUT HEALTHLEAP
Every day, millions of hospitalized patients who need intervention are missed because clinicians simply can't see everything. HealthLeap is building the AI operating system that helps care teams identify these missed patients, enabling them to improve health outcomes and generate millions of dollars. HealthLeap is changing what is possible: closing gaps that traditional workflows and clinician capacity could never.
Over the past year, we've grown contracted revenue more than 13x, expanded rapidly across leading health systems, and now help care teams identify patients across millions of inpatient encounters.
We're ~25 people. >$32M raised. SF-based, hybrid-friendly. And, we're delivering results that are changing lives.
ABOUT THE ROLE
Build the infrastructure that screens every hospital patient, every day.
HealthLeap processes billions of data points from hospital EHRs. Data flows through secure connections, transforms through data pipelines, and powers ML models that clinicians rely on every morning. You'll work alongside our data scientists and ML engineers to build and operate the infrastructure that makes this possible.
WHY YOU
You've built AI infrastructure at a startup where you owned everything. The person who set up the AWS accounts, wrote the Terraform, deployed the ML models, and debugged the VPN at 2am. You've taken models from Jupyter notebooks to production. You're the person who figures things out when the docs don't help.
WHAT YOU'LL DO
- Deploy new hospitals: site-to-site VPNs, networking, container services, data pipelines
- Build reliable data infrastructure that ingests, transforms, and serves data at scale (S3, Iceberg, Spark, Dagster, Airflow)
- Partner with data scientists and ML engineers to productionize models and get them running reliably at scale
- Own AWS infrastructure: multi-account orgs, ECS/EKS, Terraform, networking
- Set up observability: monitoring, alerting, logging that actually helps debug issues
- Make hospital deployments faster and more reliable
WHAT WE'RE LOOKING FOR
- 5+ years engineering experience, with significant infrastructure work
- Deep AWS experience: networking, IAM, ECS/EKS, S3, and the rest
- Solid with Terraform or similar infrastructure-as-code
- Experience with data pipelines and orchestration (Dagster, Airflow, or similar)
- You've operated production systems, not just built them
- You figure things out, even when documentation doesn't exist
NICE TO HAVE
- MLOps experience: deploying and monitoring ML models in production
- Healthcare data standards (FHIR, HL7v2)
- Experience with Kubernetes, service mesh, or complex networking
- Background at an early-stage startup where you owned infra end-to-end
THIS ROLE IS NOT FOR YOU IF
- Startup unpredictability feels like chaos to you. We find it exciting.
- 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've only worked on platform teams at large companies. We need someone who's built infra from scratch.
- You see collaboration as interruption. We see it as leverage. The best engineers here are constantly pulling each other in. 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 (~4-5 hours)
- 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
LOCATION
San Francisco - in person.
If you're passionate about applying frontier AI to real-world impact, join us in building healthcare's future.