Backend Engineer

Job not on LinkedIn

November 17

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Logo of all.health

all.health

Wellness • Healthcare Insurance

all. health is a healthcare technology company that provides innovative solutions for personal health management. It focuses on delivering digital health tools and services to help individuals monitor and improve their wellness through cutting-edge technology. The company aims to empower users with insights and data to manage their health effectively.

11 - 50 employees

🧘 Wellness

⚕️ Healthcare Insurance

💰 Seed Round on 2020-12

📋 Description

• 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.

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