Mid-Level Software Engineer (Product Engineering Team)

Join Sprinter Health, a company dedicated to reimagining healthcare access by bringing care directly to patients' homes. As a Mid-Level Software Engineer, you will play a crucial role in building and scaling the core systems that power last-mile healthcare delivery. You will work on complex, high-impact systems that directly determine whether patients receive care. This is a hybrid position with a focus on work-life balance and collaboration.

• Concevoir et construire des services backend et des API qui alimentent la réservation de patients, le routage des cliniciens, la logistique et les intégrations de dispositifs.
• Expédier des fonctionnalités de produit full-stack de bout en bout, de la modélisation des données et de la logique métier à l'interface utilisateur et aux flux d'utilisateurs.
• Résoudre des défis opérationnels complexes tels que la planification, l'expédition, les contrôles de sécurité et la prévention des erreurs à grande échelle.
• Mentored junior and mid-level engineers through code reviews, pairing, and technical guidance
• Made technical decisions that balanced execution speed, scalability, and long-term maintainability
• Spent 2+ years building and scaling backend or full-stack systems in production
• 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
• Shipped features independently and in collaboration with product, data, ops, or design partners
• Led projects or pods end to end — from architecture and planning to delivery and iteration
• 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