Backend Engineerall.health

all.health

We catch acute respiratory infections and lifestyle disease early and guide you toward a healthier life

11-50 employees

(2023)

2017

Wellness and Fitness Services

San Francisco, California

all.health

Digital Health • Healthcare • Clinical Studies • Sensors • Behavioral medicine • Behavior Change • Covid-19 • Diabetes • AI • Artificial Intelligence • Machine Learning • Wellness • hypertension • and Manufacturing

Backend Engineer

all.health

Location

San Francisco, United States

Job typeFull Time

WorkplaceHybrid

ExperienceSenior

DepartmentProduct & Software Services

First posted onJanuary 13, 2026

All.Health is hiring a Backend Engineer to architect and build scalable systems for ingesting, processing, and managing diverse health data sources—from continuous wearable signals to episodic clinical records. You will work on the backbone of a platform that combines real-time data, AI insights, and personalized care pathways to transform healthcare delivery.

You should be comfortable working with regulated health data (PHI/PII), building privacy-aware and HIPAA-compliant systems, and have strong experience working with event-driven architectures, secure APIs, and health data standards (e.g., FHIR, HL7, BLE protocols). Full-stack experience, especially building internal tools or patient/provider-facing dashboards, is a strong plus.

Core 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

Technical Requirements

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 stackExperience with Java or other JVM-based languages preferred
Experience with Rust

What We're Looking For

Builder mindset with a passion for delivering robust, scalable, and secure systems in healthcare
Comfortable working in a fast-paced, mission-driven environment where data accuracy and integrity are paramount
Willingness to get hands dirty across the stack when needed and collaborate across disciplines
Curious, thoughtful, and focused on long-term maintainability and resilience
Deeply motivated by improving health outcomes through technology