AI Automation Team

Staff Backend or Full-Stack Software Engineer building core backend services, APIs, data flows, and full-stack features for last-mile healthcare delivery, clinician routing, patient booking, device integrations, and operational safety at a high-growth health tech startup. Requires 8+ years scaling production systems, leading projects end-to-end, and mentoring engineers.

About the job

What you will do

Design and build backend services and APIs that power patient booking, clinician routing, logistics, and device integrations.
Ship full-stack product features end to end, from data modeling and business logic to UI and user flows (if full-stack).
Solve complex operational challenges like scheduling, dispatch, safety checks, and error prevention at scale.
Integrate with external health systems, telemedicine platforms, and medical devices in a reliable, secure way.
Work closely with product, data, ops, and clinical teams to turn real-world problems into shipped software.
Own projects from 0→1, make architectural decisions, and help evolve our engineering practices as we scale.

Requirements

8+ years building and scaling backend or full-stack systems in production.
Experience mentoring engineers and overseeing large scale projects.
Designed APIs, data models, and services that power real user-facing products.
Led projects or pods end to end — from architecture and planning to delivery and iteration.
Mentored junior and mid-level engineers through code reviews, pairing, and technical guidance.
Shipped features independently and in collaboration with product, data, ops, or design partners.
Built in environments where speed, reliability, and ambiguity coexist — startups, high-growth teams, or 0→1 products.
Made technical decisions that balanced execution speed, scalability, and long-term maintainability.

Nice-to-haves

Built or scaled products in health tech, logistics, or other operationally complex environments.
Understand supply/demand dynamics — forecasting, routing, scheduling, or inventory management.
Scaled backend systems to support rapid growth, high-volume data, and evolving business needs.
Worked in mid- or growth-stage startups (Series A–C) where speed and ambiguity were the norm.
Comfortable working with data platforms, pipelines, or large-scale data processing.
Know your way around regulated environments — HIPAA, security, and privacy best practices.

Compensation and Benefits

Base salary: $220,000 - $255,000.
Meaningful pre-IPO equity.
Medical, dental, and vision plans 100% paid for you and your dependents.
Flexible PTO + 10 paid holidays per year.
401(k) with match.
16-week parental leave policy for birthing parent, 8 weeks for all other parents.
HSA + FSA contributions.
Life insurance, plus short and long-term disability coverage.
Free daily lunch in-office.
Annual learning stipend.