Why This Role Stands Out
This is an exciting opportunity to drive innovation at a rapidly growing AI healthcare startup, building impactful greenfield products that will automate the recruiting pipeline. If you're a mid-senior full stack engineer with 3-5+ years of experience eager to take ownership and contribute to a mission-driven company, you'll thrive here. Apply now to join this dynamic team and help shape the future of healthcare recruitment!
Quick Overview
Job Description
URGENT REQUIREMENT – Senior Full Stack Engineer
Position: Senior Full Stack Engineer
Employment Type: Full-Time
Location: Midtown Manhattan, New York City
Work Model: Hybrid – 4 days/week in office (Monday–Thursday)
Job Description
We are looking for a senior full-stack engineer with 3-5+ years of experience to join a fast-growing AI healthcare startup and own projects that span the entire stack. You will be building greenfield products that automate the healthcare recruiting pipeline, from sourcing to onboarding, at a company already powering thousands of candidate interactions monthly and scaling toward millions.
What You Will Be Doing
- Own and deliver greenfield projects across the full stack, including backend, infrastructure, and frontend.
- Evolve and scale platform architecture as the product grows from thousands to millions of candidate interactions.
- Build and ship end-to-end features in a TypeScript-first environment on serverless AWS infrastructure.
- Collaborate directly with engineering leadership and company founders with short feedback loops and significant autonomy.
- Help establish engineering standards, best practices, and technical culture as a key early team member.
Required Experience
- 5–7 years of full-stack software engineering experience
- 2+ years at a VC-backed startup
- Experience building and scaling high-throughput distributed systems
- Strong observability, monitoring, and reliability expertise
Tech Stack
- TypeScript
- Node.js
- React
- AWS
- Serverless AWS (Lambda, ECS)
- PostgreSQL
- MySQL
- Docker
- LLMs / AI technologies
Education
- BS in Computer Science
- BS in Computer Engineering
- Or equivalent technical degree
Preferred Qualifications
- Backend TypeScript expertise
- Production AI/LLM experience
- Founder experience with demonstrated traction
Candidate Profile / Additional Information
- Experience at both an early-stage startup (Series A or lower) and a larger-scale company.
- Nice-to-have: experience at a big tech company such as Amazon, Apple, Meta, etc., or a tier-one startup such as Ramp, Stripe, etc.
- Open to current or former founders as long as they had some element of real traction/product, such as paying customers, funding, etc.
Traits to Avoid
- 3+ big tech companies with no startup experience
- Stagnant at SDE1 level for 2+ years at a big tech company
- Pure specialist unwilling to work across the stack
Aditya Shrivastava
Lead Technical Recruiter
Nexiva Inc,
Contact :
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