Senior Backend Engineer

Doctronic Inc

$120K — $160K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • CS degree or equivalent expertise in backend engineering
  • 6+ years of experience with Python and API development
  • Strong technical foundation in FastAPI, Flask, or similar frameworks
  • Experience with cloud services and high-volume traffic APIs
  • Proficiency in relational databases (PostgreSQL, MySQL), caching with Redis, and distributed systems

Responsibilities

  • Build scalable APIs for AI healthcare tools
  • Ensure secure integration of health records and third-party services
  • Optimize databases for healthcare data processing
  • Implement error handling and disaster recovery for backend systems
  • Coordinate backend systems for AI tools and decision processes

Benefits

  • Direct reporting to the CEO with high autonomy
  • Opportunity to transform healthcare accessibility
  • Build innovative infrastructure with leading technologies
  • Benefit reimbursements for health-related expenses
Full Job Description
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


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