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AI Automation Team

Senior backend or full-stack engineer building core systems for in-home healthcare delivery, including patient booking, clinician routing, logistics, device integrations, and medical operations at a high-growth startup.

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: $185,000 - $230,000
  • 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

Skills

AWS, Appsync, DynamoDB, AWS Lambda, GraphQL, TypeScript, JavaScript, Node.js, React, React Native

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