Responsibilities

Lead the design and development of backend systems for ingesting and processing health record data from external sources (e.g., EHRs, third-party health platforms)
Architect and implement robust data pipelines to clean, normalize, and structure health record data for reliable downstream consumption
Design and maintain secure, scalable APIs and services that expose health record data to internal systems and member-facing features
Define and enforce access control mechanisms and data governance standards to ensure privacy, security, and compliance with healthcare regulations
Drive technical decision-making and system architecture to support scalability, reliability, and extensibility of health record systems
Collaborate cross-functionally with product, data science, and engineering teams to unlock new health insights and capabilities
Mentor other engineers and contribute to raising the technical bar across the team

Qualifications

5+ years of experience building and operating backend systems and APIs in production environments
Experience working with healthcare data standards (e.g., FHIR) and integrating with external health data sources
Strong understanding of data privacy, security, and access control models, particularly for sensitive health data
Experience designing scalable data pipelines for ingestion, transformation, and validation of complex datasets
Proficiency in backend technologies such as Java (or similar), relational databases (e.g., Postgres), and cloud infrastructure (e.g., AWS)
Experience with distributed systems and designing for high availability and reliability
Demonstrated ability to lead technical initiatives and influence system architecture
Strong cross-functional communication skills and ability to operate effectively in a fast-paced environment
Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.