Hybrid Backend Engineer

at all.health

• Job title: Backend Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: JavaScript, Next.js, React
• Location requirements: Hybrid, San Francisco, United States

About the role

• Backend Engineer architecting scalable systems for ingesting and managing diverse health data sources. Working on real-time data, AI insights, and personalized care pathways to transform healthcare delivery.

Responsibilities

• Design and implement scalable backend services that ingest, transform, and persist diverse health data (wearable sensor streams, EHRs, user inputs). Build APIs and data pipelines for real-time and batch processing, ensuring data integrity, security, and compliance
• Integrate with external systems and protocols including FHIR APIs, BLE-based devices, Apple HealthKit, and Google Fit.
• Ensure backend services are designed for high availability, reliability, and low latency, especially for real-time clinical decision support
• Collaborate with security and compliance teams to ensure HIPAA-compliant handling of PHI/PII data.
• Work cross-functionally with product, clinical, and AI teams to align backend capabilities with user-facing experiences and clinical workflows
• Contribute to CI/CD pipelines, observability tooling, and data quality monitoring
• Support and mentor teammates across engineering functions, especially around secure coding and data access best practices

Requirements

• Bachelor’s or Master’s degree in Computer Science or related
• 5+ years of experience delivering products end-to-end, from ideation through planning and scoping to implementation
• Full-stack experience, including building dashboards, admin tools, or data visualizations with React/Next.js, Tailwind, etc
• Proven software architecture experience, patterns of large, high-scale applications
• Experience integrating 3rd-party health platforms and APIs, including EHRs, remote monitoring tools, or insurance data exchanges
• Background in working with data warehousing, analytics platforms, or data lakes for longitudinal health data
• Exposure to clinical workflows, remote patient monitoring, or population health management systems
• Familiarity with data governance, data provenance, and auditing frameworks for regulated environments
• Passion for writing clean, maintainable, and testable code
• Excellent programming and computer science fundamentals, and a deep love for technology
• Ability to adapt and learn new skills coupled with a resourceful, can-do attitudeOutstanding attention to detailProficient experience with Git, Github, Jira or similar project enablement tools.