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Senior Software Engineer (Product Engineering Team)

Sprinter Health · United States

External listingfull-time17 days ago

About The Role

Join Sprinter, a company dedicated to revolutionizing last-mile healthcare delivery. As a Senior Software Engineer, you will build and scale core systems that directly impact patient care. You will work on complex, high-impact projects and have the opportunity to make architectural decisions and evolve engineering practices. Enjoy a hybrid work schedule, unlimited PTO, and a range of benefits including health insurance, 401k matching, and generous parental leave.

  • 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).
  • Own projects from 0→1, make architectural decisions, and help evolve our engineering practices as we scale.
  • Designed APIs, data models, and services that power real user-facing products
  • Built in environments where speed, reliability, and ambiguity coexist — startups, high-growth teams, or 0→1 products
  • Spent 5+ years building and scaling backend or full-stack systems in production
  • 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
  • Made technical decisions that balanced execution speed, scalability, and long-term maintainability
  • You’ve built or scaled products in health tech, logistics, or other operationally complex environments
  • You understand supply/demand dynamics — forecasting, routing, scheduling, or inventory management
  • You’ve scaled backend systems to support rapid growth, high-volume data, and evolving business needs
  • You’re comfortable working with data platforms, pipelines, or large-scale data processing
  • You’ve worked in mid- or growth-stage startups (Series A–C) where speed and ambiguity were the norm
  • You know your way around regulated environments — HIPAA, security, and privacy best practices

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