Full Stack Engineer - Maps Data Paltform Workflow Team

Apple • Cupertino, CA

6d

About The Position

The Maps Data Platform Workflows Team oversees the processing and management of data and workflows at the core of Apple Maps. We build and maintain the systems that enable processing and workflow management of petabytes of map data that powers the Apple Maps experience used by millions of people every day! As a Maps Data Platform engineer, youʼll design and help implement systems which empower teams across engineering and operations to build our future Apple Maps experiences!

The Maps Data Platform Workflows Team builds and maintains the foundation that powers Apple Maps. We are responsible for providing scalable and extensible workflows that handles petabytes of map data, enabling various aspects of Map building including but not limited to data ingest, map updates, review process, and traceability. As a full-stack engineer on the team, you will primarily be responsible to build user experiences that powers various workflows involved in Map building life cycle. This position is ideal for innovative engineers who are passionate and excited to work in complex, fast-paced and ambiguous environments to deliver tangible results keeping in mind our end users and their experiences.

Requirements

• Bachelor’s degree and 4+ years of experience building and maintaining production systems.
• Strong hands-on experience with React, including hooks, context, and performance optimization techniques.
• Proficiency in TypeScript for building scalable and maintainable frontend applications.
• Experience with modern state management solutions such as Redux Toolkit, React Query, or Apollo.
• Familiarity with data visualization and charting libraries such as Highcharts, Recharts, Chart.js, or D3.
• Solid understanding of component-based architecture and reusable UI patterns.
• Experience in building scalable and low latency JVM-based web services using Scala or Java.
• Strong understanding of distributed data storage systems (both databases and indexes).

Nice To Haves

• Experience with platform based approach to building user experiences with integration with REST and/or GraphQL APIs to enable scalability and reusability.
• Experience with Geospatial applications or mapping libraries (Mapbox, Leaflet or similar)
• Understanding of authentication and authorization mechanisms, including JWT and OAuth.
• Proven success applying Generative AI to production systems beyond prompt engineering.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees