Senior Backend Engineer
doctronic
This is a rare opportunity to join an early-stage healthcare company as a senior engineer while you're still building your career foundation. You'll own backend systems that directly impact patient access to care, which means your work has real stakes from day one.
You'll build and maintain scalable APIs in Python and FastAPI, manage databases handling millions of monthly healthcare requests, and integrate with hospital systems and EHR networks. The infrastructure you write will need to handle sensitive patient data securely while meeting HIPAA compliance requirements. You'll also work on real-time data processing, caching strategies with Redis, and system reliability at scale.
This role fits you if you have solid experience with backend development, understand API design, and can write secure code under regulatory constraints. A portfolio showing Python projects, database work, or cloud infrastructure (especially AWS) will strengthen your application. You don't need healthcare domain knowledge—you'll learn that on the job.
Apply directly through CareerJumpShip to be considered. The position is hybrid in New York City, reporting to the CEO.
About this role
SENIOR BACKEND ENGINEER Doctronic | New York City ONSITE (Hybrid) | Reports to CEO THE MISSION 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. HOW WE WORK - Engineering-first org: no project managers, just senior engineers - Flat structure with direct CEO reporting and high autonomy - Own features end-to-end from minimal specs to production - AI coding tools encouraged - Ship fast with good judgment; daily standups for alignment, not micromanagement REQUIRED QUALIFICATIONS Education & Background - 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 Technical Expertise - 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 System Design & Integration - 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 PREFERRED QUALIFICATIONS - 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 WHAT WE OFFER - Competitive salary plus significant equity - Build infrastructure transforming healthcare accessibility for millions - Direct CEO reporting with significant autonomy - Access to leading technologies and healthcare experts - Benefits reimbursement Funding & Momentum - Union Square Ventures led our seed (Feb 2025) - Lightspeed Venture Partners preempted our Series A six months later (Aug 2025) - Abstract preempted our Series B five months later (Jan 2026) - Significant equity stake in fast-moving, well-backed company ABOUT DOCTRONIC Doctronic is the #1 AI Doctor, revolutionizing direct-to-patient healthcare through our proprietary AI system. Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians. Our platform (doctronic.ai http://doctronic.ai) provides free, anonymous, HIPAA-compliant AI consultations alongside affordable human physician visits ($40) available 24/7 across all 50 states via instant video, scheduled video, or async text.