Fullstack - Data Platform (Autonomy)
About The Position
Zipline is at the forefront of a logistics revolution, using autonomous aircraft to deliver life-saving medical supplies across multiple continents, seven days a week. We have completed over 2,000,000 deliveries to date. At Zipline, we believe that access to medical care should not depend on your location. To achieve our mission on a global scale, we’re enhancing our autonomy capabilities to quickly and safely expand into new products and locations, ultimately delivering essential packages right to your doorstep. Our Autonomy team is seeking a Full Stack Engineer to develop web-based data visualization and annotation tools. These tools will allow the Autonomy team to introspect, visualize, and interact with data generated by thousands of Zips operating worldwide, solving Zipline’s critical autonomy challenges.
Requirements
- Demonstrated experience building production-grade full stack web applications
- Proven ability to work closely with internal customers and deliver software end-to-end in order to address diverse needs
- Strong experience with data-heavy web applications and performance optimization for large datasetsUnderstanding of database query optimization and working with complex JSON/nested data structures
- Strong user-centered design thinking - ability to iterate with users and translate complex technical requirements into intuitive UX
- Expertise in modern front-end (Typescript, React, Zustand, Storybook, Playwright)
- Experience with backend frameworks for API design (Django, Flask, FastAPI)
- Working knowledge of cloud databases (e.g. AWS RDS, DocumentDB)
Responsibilities
- Build sophisticated data triage and exploration interfaces that enable users to filter, analyze, and investigate data across millions of records
- Design and develop web front-end visualization tools for Zipline's data pipelines, enabling high-quality analysis to solve critical autonomy problems
- Build scalable and performant backend APIs and realtime data pipelines to support complex querying, filtering, and aggregation across large datasets
- Design and implement efficient database schemas, indexes, and query optimization strategies to ensure performant search and analysis at scale
- Collaborate closely with engineering teams to understand workflows and deliver tools that improve operational efficiency and data-driven decision making
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
