Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.
Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.
Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.
We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.
We’re building the systems that power Zipline operations end-to-end, giving us the ability to design faster, smarter workflows, connect data across the business, and remove the friction that slows teams down. The Enterprise Systems team builds the software that connects manufacturing, supply chain, finance, inventory, hardware quality assurance, and field operations into a single operational nervous system. These systems directly shape how quickly and effectively Zipline can manufacture, test, deploy, and operate our global drone fleet.
Most companies adapt their operations to fit off-the-shelf enterprise software. At Zipline, we’re building our systems ourselves so the software can evolve with the business. Our philosophy is simple: business processes should inform system design, not the other way around. By owning these systems ourselves, we can rapidly iterate on workflows, automate complex operations, and continuously improve how the company operates as we scale.
Engineers on this team own the product and work directly with the end users who rely on these systems every day, from manufacturing and supply chain teams to field operators running our delivery network. This proximity to real operations allows engineers to identify problems first-hand, design and build solutions end-to-end, and deliver systems that have immediate impact across the company.
Enterprise Systems at Zipline sits at the intersection of software and real-world operations. The systems this team builds determine how efficiently we manufacture aircraft, move inventory, maintain traceability, deploy assets, and support a growing global delivery network.
Most software roles focus on building isolated features or optimizing digital experiences — this role is different. You’ll build the operational nervous system of the company, owning core business problem spaces that enable Zipline to manufacture, source, scale, and operate its global drone fleet. 95% of the company will use the tools that you build.
You will solve problems like:
We care far more about how you approach problems than about experience with any specific technology. Strong candidates for this role typically have:
Our current stack includes technologies such as Python, Go, React, gRPC, Kafka, PostgreSQL, AWS, Bazel, Grafana, and Honeycomb, but we value engineers who can learn new tools quickly and focus on solving the right problems.
We also lean heavily into AI-assisted and agentic engineering workflows, and we’re excited to work with engineers who are interested in using modern AI tooling to amplify their productivity while maintaining high standards for system design and code quality.