Backend Engineer

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. We're 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.

We're ~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.

We're seeking a talented Backend Software Engineer to join our innovative team and play a crucial role in developing our AI-driven healthcare platform. As a key member of our engineering team, you'll be responsible for building and maintaining our backend services and data engineering systems. This is an exciting opportunity to make a meaningful impact on patient care by contributing to our cutting-edge AI risk screening platform.

Responsibilities:

Design, develop, and maintain scalable backend services and data engineering solutions, including databases, data warehouses, and streaming systems operating on large-scale datasets.

Implement services that interact with Kafka, write to databases, handle monitoring tasks, and integrate with healthcare system APIs.

Implement and manage advanced deployment strategies such as canary and blue-green deployments, as well as feature flag systems.

Collaborate closely with product, infrastructure, and ML engineers to deliver high-quality software solutions.

Contribute to the overall technical strategy and architecture of our platform.

Requirements:

5+ years of professional experience in backend software engineering.

Strong proficiency in one or more backend programming languages (e.g., Python, Java, Go).

Extensive experience with databases (e.g. Postgres), data warehousing, and stream processing technologies, including message brokers like Kafka.

Knowledge of data engineering best practices and ETL processes.

Experience in developing and integrating with RESTful APIs and websockets.

Proficiency with cloud platforms (preferably AWS) and containerization technologies.

Experience with monitoring and observability tools and practices.

Nice-to-haves:

Experience with healthcare data standards (e.g., FHIR, HL7v2) and integrations.

Familiarity with HIPAA compliance and health care data security requirements.

Previous work in a startup environment or scaling early-stage products.

Location: San Francisco strongly preferred (hybrid with Monday, Wednesday, and Friday in office)

If you're passionate about applying frontier AI to real-world impact, join us in building healthcare's future.