Staff Software Engineer (Product Engineering Team)

Join Sprinter, a company focused on revolutionizing last-mile healthcare delivery. As a Staff Software Engineer, you will design and build backend services and APIs, solve complex operational challenges, and integrate with external health systems. You will have the opportunity to own projects from 0→1, make architectural decisions, and help evolve our engineering practices as we scale. Enjoy benefits such as free lunch, health insurance, unlimited PTO, and a flexible work-from-home policy.

• 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.
• Led projects or pods end to end — from architecture and planning to delivery and iteration
• Spent 8+ years building and scaling backend or full-stack systems in production
• Made technical decisions that balanced execution speed, scalability, and long-term maintainability
• Shipped features independently and in collaboration with product, data, ops, or design partners
• 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
• Mentored junior and mid-level engineers through code reviews, pairing, and technical guidance
• 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’ve worked in mid- or growth-stage startups (Series A–C) where speed and ambiguity were the norm
• You’re comfortable working with data platforms, pipelines, or large-scale data processing
• You know your way around regulated environments — HIPAA, security, and privacy best practices