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.
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.
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.
Other
- San Francisco strongly preferred (hybrid with Monday, Wednesday, and Friday in office)
- 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.
- If you're passionate about applying frontier AI to real-world impact, join us in building healthcare's future.
