Senior Backend Engineer

Doctronic•New York City, NY

3d•Hybrid

About The Position

Let's make healthcare free and accessible to everyone through AI. We need backend infrastructure that can scale our AI doctor platform to billions of consultations while maintaining medical safety and HIPAA compliance. What You'll Build Healthcare API Infrastructure Scalable APIs using Python, FastAPI, AWS handling millions of monthly requests RESTful API development supporting our AI healthcare tools Real-time data processing for sensitive patient information (HIPAA-compliant) Internal API architecture for web platform and AI coordination Integration & Data Systems Secure health record exchange with EHR systems, QHINs, healthcare networks Third-party integrations: telehealth providers, analytics platforms, healthcare APIs Large-scale sensitive data processing with encryption and compliance safeguards Partner API integrations across dozens of diverse healthcare systems Scale & Reliability Database optimization for high-volume healthcare data with complex queries Redis for secure caching and session management in healthcare environments Error handling, failover systems, disaster recovery for mission-critical services Performance optimization for rapid user growth AI System Integration Backend coordination for AI tools and decision-making workflows Python-based deterministic systems working alongside AI agents for clinical accuracy APIs supporting model inference, data preprocessing, result processing Infrastructure for AI safety: validation layers and human escalation protocols You'll also work on healthcare compliance automation, advanced monitoring, multi-region deployment, and backend foundation for next-generation AI healthcare features.

Requirements

CS degree OR equivalent demonstrated expertise
Engineering, Math, or related technical degrees welcomed with strong programming foundation
Preference for graduates from top programs at top universities
Preference for founders, founding engineers, or extensive startup experience
Independent problem solver who collaborates well cross-functionally
6+ years backend engineering with Python and API development
FastAPI, Flask, or similar Python web frameworks
Cloud services experience
RESTful APIs, high-volume traffic handling
Relational databases (PostgreSQL, MySQL) and optimization
Redis, caching strategies, distributed systems design
Third-party API integrations and webhook management
Microservices architecture and distributed system patterns
Security best practices for sensitive data and API design
CI/CD pipelines, containerization (Docker), deployment automation
Monitoring, logging, observability tools

Nice To Haves

Systems for healthcare, fintech, or regulated industries
Healthcare data standards (HL7, FHIR) and HIPAA compliance
High-scale data processing and real-time systems
AI/ML systems and model serving infrastructure
Message queues, event-driven architectures, async processing
Healthcare workflows, EHR systems, telehealth platforms
Seed/Series A experience in healthcare or technology
Advanced degree in CS, Engineering, or related field

Responsibilities

Healthcare API Infrastructure
Scalable APIs using Python, FastAPI, AWS handling millions of monthly requests
RESTful API development supporting our AI healthcare tools
Real-time data processing for sensitive patient information (HIPAA-compliant)
Internal API architecture for web platform and AI coordination
Integration & Data Systems
Secure health record exchange with EHR systems, QHINs, healthcare networks
Third-party integrations: telehealth providers, analytics platforms, healthcare APIs
Large-scale sensitive data processing with encryption and compliance safeguards
Partner API integrations across dozens of diverse healthcare systems
Scale & Reliability
Database optimization for high-volume healthcare data with complex queries
Redis for secure caching and session management in healthcare environments
Error handling, failover systems, disaster recovery for mission-critical services
Performance optimization for rapid user growth
AI System Integration
Backend coordination for AI tools and decision-making workflows
Python-based deterministic systems working alongside AI agents for clinical accuracy
APIs supporting model inference, data preprocessing, result processing
Infrastructure for AI safety: validation layers and human escalation protocols
healthcare compliance automation
advanced monitoring
multi-region deployment
backend foundation for next-generation AI healthcare features