Senior Full Stack Software Engineer - Health Care

ZiplineSouth San Francisco, CA
4d

About The Position

Zipline’s Nest Applications Software team builds and manages the fulfillment, maintenance and flight systems that power our operations in Africa. We are responsible for the software that manages medical inventory, order processing, and flight coordination for automated delivery at scale. Our work spans internal platforms that streamline supply chain, and financial workflows, as well as external-facing applications that allow customers to place and track orders. By connecting every corner of the business through software, we ensure Zipline can operate efficiently, intelligently, and globally.

Requirements

  • 8+ years building and operating production-grade distributed systems.
  • Deep experience developing full stack software using Python, Go, or a similar object-oriented language.
  • Frontend experience using React or similar Javascript frameworks.
  • Experience architecting distributed and event-driven systems using Kafka or similar technologies.
  • Database modeling and performance tuning experience with Postgres.
  • Demonstrated history of designing systems that are simple, flexible, and resilient.
  • Proven implementation of comprehensive automated testing strategies.
  • Experience driving architectural decisions in fast-changing environments.
  • Track record of mentoring and growing junior engineers.

Nice To Haves

  • Experience building modern fulfillment, logistics, or warehouse systems.
  • Willingness to spend significant time in Kigali, Rwanda, via travel or relocation.
  • Production experience with Kubernetes and AWS.

Responsibilities

  • Deep dive into your users’ problems to simplify operational workflows which enable the business to move efficiently
  • Architect simple, modular, flexible software systems that evolve with fast changing business needs.
  • Lead backend and frontend development of major projects across all aspects of a modern tech stack.
  • Establish strong automated testing practices across unit, integration, and system layers.
  • Improve reliability, observability, and operational robustness of production systems.
  • Systematize AI-assisted workflows across development, testing, and operations.
  • Maintain clear engineering patterns, code quality standards, and review discipline.
  • Mentor junior engineers through direct coaching, pairing, and design reviews.
  • Increase team throughput by reducing friction, simplifying architecture, and eliminating waste.
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