Location: New York City | Employment: Full-Time | Dept.: Engineering
Compensation: Competitive base + significant equity (seed-stage)
Overview
Seeking a skilled Backend Engineer to build and scale the infrastructure behind an AI healthcare platform serving millions of patients. This role sits at the intersection of high-scale backend engineering and AI systems, owning secure APIs, distributed services, and data pipelines that power 14M+ patient interactions with uncompromising reliability and healthcare compliance.
Required Qualifications
Education & Background
- CS degree or exceptional equivalent experience (Engineering/Math welcome)
- Startup DNA: founder/founding engineer or deep early-stage experience preferred
- Proven independence solving complex problems and strong cross-functional collaboration
Technical Expertise
- 5+ years backend engineering with Python and API development
- Strong with FastAPI/Flask (or similar) and cloud services (AWS/GCP/Azure)
- Built/scaled RESTful APIs for high-volume traffic
- Proficient with relational DBs (PostgreSQL/MySQL) and performance tuning
- Knowledge of Redis, caching strategies, and distributed systems design
System Design & Integration
- Third-party API integrations, webhooks, and microservices patterns
- Security best practices for sensitive data and API design
- CI/CD, containers (Docker), and deployment automation
- Monitoring/logging/observability (metrics, tracing, alerts)
Preferred Qualifications
- Experience in healthcare, fintech, or other regulated domains
- Familiar with HL7, FHIR, and HIPAA requirements
- High-scale data processing and real-time systems
- Background with AI/ML systems and model serving
- Message queues, event-driven, and async architectures
- Knowledge of healthcare workflows, EHRs, or telehealth platforms
- Seed/Series A startup experience
- Advanced degree in CS/Engineering (or related)