Staff Software Engineer (AI Automation 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 work closely with various teams to turn real-world problems into shipped software and own projects from inception to completion. The role offers a competitive benefits package, including 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.
• Built in environments where speed, reliability, and ambiguity coexist — startups, high-growth teams, or 0→1 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
• Designed APIs, data models, and services that power real user-facing products
• 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
• Experience mentoring engineers and overseeing large scale projects
• You know your way around regulated environments — HIPAA, security, and privacy best practices
• You’re comfortable working with data platforms, pipelines, or large-scale data processing
• 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’ve built or scaled products in health tech, logistics, or other operationally complex environments