Backend Engineer

HealthLeap • San Francisco, CA

15d • Hybrid

About The Position

HealthLeap is an AI start-up revolutionizing healthcare through predictive analytics, initially focused on disease-related malnutrition—a critical form of patient deterioration affecting virtually every hospital condition. Our mission is to maximize health outcomes globally by building a scalable AI platform that screens patients comprehensively using electronic health records (EHRs), labs, clinical notes, and more. We're experiencing explosive growth, with contracts and pilots at top US health systems like Cedars-Sinai, Intermountain Health, Penn Medicine, and many others. We have unprecedented access to EHR data (far more than competitors: 10s of billions of tokens per hospital + vast structured data across 100% of inpatients), positioning us to expand into additional conditions like pressure ulcers, congestive heart failure, infections, readmissions, and mortality predictions. With a unique strategy and no direct competitors (due to our 2+ year lead and regulatory advantages), we are setting out to become a $100B+ company. 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.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed