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all.health · 19 hours ago

Backend Engineer

San Francisco, CA

Full-time

Onsite

Senior Level

5+ years exp

All.Health is a company focused on transforming healthcare delivery through technology. They are seeking a Backend Engineer to architect and build scalable systems for managing diverse health data sources, ensuring compliance and data integrity while collaborating with cross-functional teams.

Health Care

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

Qualification

PythonHIPAA complianceEvent-driven architectureFHIR standardsFull-stack experiencePostgreSQLMicroservicesKubernetesData governanceGitJiraClean codeAttention to detailCollaboration

Required

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 attitude

Outstanding attention to detail

Proficient experience with Git, Github, Jira or similar project enablement tools

Strong Python backend engineer (FastAPI, Flask, Django) with understanding of distributed systems, microservices, and asynchronous workflows (Celery)

Solid database experience with PostgreSQL or MySQL; comfortable with Kafka or similar event-streaming systems and enforcing data contracts and idempotency

Competent in test architecture using PyTest (fixtures, contract tests), Hypothesis (property-based testing), and Locust (performance/load testing)

Skilled in observability and reliability engineering - instrumenting metrics, traces, and logs to measure and improve real-world system behavior

Hands-on with Kubernetes, containerized CI/CD pipelines, and cloud environments (Azure, AWS, GCP)

Familiar with OAuth2, TLS certificate management, and secure service communication

Understands security and compliance principles (HITRUST, HIPAA, FDA 510(k)), encryption, and evidence generation for audits

Experience with HL7 or FHIR interfaces - message parsing, composition, and secure data exchange in healthcare environments

Systems-oriented mindset: treats testing, automation, and monitoring as first-class engineering concerns; pragmatic, collaborative, and effective across the full stack