Senior Software Engineer — Backend / Platform
Senior backend engineer on the Platform & Integrations team of a well-funded AI-native healthcare startup, building public APIs and core data infrastructure that ingests and normalizes EHR, wearable, and lab data. Stack: TypeScript/Node.js, PostgreSQL, Redis, SQS, Temporal, AWS/GCP, Docker/Kubernetes. Hybrid in NYC (Boston considered).
- Compensation
- Not disclosed
- Location
- United States
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Experience
- 6+ years
- Category
- Backend
- Posted
Skills
Must have
- 5–6+ years of professional software engineering experience with substantial hands-on backend development
- Strong experience building production backend systems with TypeScript/Node.js (or comparable backend technologies with fast ramp-up)
- Experience designing and maintaining external-facing/public APIs used by customers, partners, or other teams
- Deep understanding of relational databases, preferably PostgreSQL, including schema design, optimization, and data modeling
- Experience with distributed systems, message queues, asynchronous workflows, and scalable backend architectures
- Ability to independently own significant technical projects from design to deployment
- Strong engineering fundamentals, architectural judgment, communication, and problem-solving skills
- Comfort working in a fast-moving startup environment with high ownership and accountability
- Authorized to work in the United States without employer visa sponsorship
Nice to have
- Experience at a high-growth, venture-backed technology startup
- Background in API-first products, developer infrastructure, fintech, enterprise SaaS, or integration platforms
- Experience building foundational data models or high-throughput data ingestion infrastructure
- Familiarity with Kafka, Redis, SQS, Temporal, or similar distributed processing technologies
- Experience with healthcare interoperability, EHR integrations, FHIR/HL7, or clinical data platforms
- Previous founding engineer or early-stage engineering experience
- Computer Science degree or equivalent demonstrated technical expertise
Full description
Location: New York City, NY (Preferred) | Boston, MA (Also Considered)
Work Arrangement: Hybrid — NYC office Tuesday through Thursday
Employment Type: Full-Time
Industry: AI / Healthcare Technology
About the Opportunity
We're partnering with a well-funded, high-growth AI healthcare startup that's reimagining how patients access personalized medical care.
Rather than layering AI onto outdated healthcare infrastructure, the company is building an AI-native healthcare platform from the ground up, combining advanced artificial intelligence with real clinical expertise to deliver faster, more accessible, and highly personalized care.
With backing from leading venture capital firms and rapidly expanding enterprise partnerships, the company is scaling its core engineering infrastructure to support its next phase of growth.
We're looking for a Senior Backend Engineer to join a small, highly technical Platform & Integrations team responsible for the foundational systems powering the company's products and enterprise integrations.
This isn't a role focused on maintaining legacy services or simply adding endpoints. You'll help architect systems that other engineering teams, enterprise customers, and healthcare applications depend on.
What You'll Be Building
You'll work on two critical areas of the platform:
1. Public APIs & Enterprise Integrations
Design and evolve external-facing APIs that enable enterprise healthcare partners to integrate the company's capabilities directly into their applications.
2. Core Data Infrastructure
Build scalable systems that ingest, normalize, reconcile, and expose complex healthcare data from electronic health records, wearable devices, medications, laboratory results, and third-party platforms.
The engineering challenges involve distributed systems, high-volume data processing, durable data models, and designing APIs that remain reliable as the platform scales.
Key Responsibilities
- Design, build, and maintain production-grade public APIs consumed by external customers and enterprise partners.
- Architect scalable backend services and reusable platform components supporting critical business functionality.
- Develop foundational data models capable of handling structured records, unstructured data, and high-frequency time-series information.
- Build reliable ingestion and integration frameworks to normalize data from multiple external sources.