Senior Backend Engineer-Java/Python/Rust-Series C HealthTech

About the company:

Our client is a Series C Silicon Valley HealthTech with teams in San Francisco and London. We are hiring a Backend Engineer to architect and build scalable systems for ingesting, processing, and managing diverse health data sources. You will work on the backbone of a platform that combines real-time data, AI insights, and personalized care pathways to transform healthcare delivery.

Core Responsibilities:

• Design and implement scalable backend services that ingest, transform, and persist diverse health data
  
• 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.
  
  

• 5+ years of backend development experience with languages such as Rust, Java, Python, Go, TypeScript (Node.js) or similar.
  
• Experience with healthcare data types and sources: EHRs (FHIR/HL7), wearables (PPG, ECG, accelerometer), vitals, surveys.
  
• Strong understanding of data security, encryption, access control, and handling regulated healthcare data (HIPAA, SOC 2).
  
• Proficiency in building and maintaining RESTful APIs, message queues (Kafka, Pub/Sub, RabbitMQ), and cloud-native services (GCP, AWS).
  
• Experience with databases (PostgreSQL, BigQuery, MongoDB and TimescaleDB) and data modeling for time-series or medical data.
  
• Familiarity with event-driven architecture, microservices, and containerization (Docker, Kubernetes).
  
  

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