About Healthleap

HealthLeap builds AI that helps clinicians prioritize patients surfaces the right data and gets patients the care they need earlier so they can leave the hospital sooner.

We integrate with hospital electronic health record systems screen 100% of patients daily and risk-rank them in real time. Clinicians at Cedars-Sinai and Penn Medicine start every morning with HealthLeap with Houston Methodist Emory and Intermountain Health deploying now.

Real results: 39% more diagnoses. 4 days earlier detection. $11M/year ROI for our first site at Cedars Sinai. 7 revenue growth in 7 months.

We started with malnutrition. Were expanding to every major condition to ensure no patient falls through the cracks. Sequoia and First Round are backing us to build the platform that screens every patient for everything and drives tangible outcomes.

Were 15 people. >$7M raised. SF-based hybrid-friendly. Early enough to shape the product. Late enough to know it works. 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. Youll work alongside our data scientists and ML engineers to build and operate the infrastructure that makes this possible.

Why you

Youve 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. Youve taken models from Jupyter notebooks to production. Youre the person who figures things out when the docs dont help.

What youll 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 were 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)

• Youve operated production systems not just built them

• You figure things out even when documentation doesnt 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.

• Youve 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 whats needed and do it.

• Youre 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.

• Youve only worked on platform teams at large companies. We need someone whos 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 isnt the right fit.

Interview process

1. Intro call - Get to know each other

2. Technical - 1-2 interviews

3. Onsite - Coding case study team meet (4-5 hours)

4. Decision - Same week as onsite

We respect your time. If theres a fit youll know fast.

Compensation & Benefits

• Salary: $200000 - $275000 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 hybrid (Mon/Wed/Fri in office).

If youre passionate about applying frontier AI to real-world impact join us in building healthcares future.

Required Experience:

IC