Remote Senior Python Backend Engineer-Series C HealthTech

Robert Walters
28 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 90K

Job location

Remote

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Batch Processing
Google BigQuery
Databases
Data Integrity
Data Security
Python
PostgreSQL
MongoDB
Queueing Systems
RabbitMQ
Fast Healthcare Interoperability Resources
System Availability
Backend
Event Driven Architecture
Containerization
Kubernetes
Low Latency
Health Level Seven International
Real Time Data
Kafka
REST
Data Pipelines
Docker
Microservices

Job description

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., * 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.

Requirements

  • 5+ years of backend development experience in Python
  • 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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