About The Position

The Maps Data Platform Storage team oversees the storage and processing of all data at the core of Apple Maps. We build and maintain the systems that enable efficient storage, retrieval, and processing of petabytes of map data that powers the Apple Maps experience used by millions of people every day! As a Maps data platform engineer, you’ll design and help implement systems which empower teams across engineering and operations to build our future Apple Maps experiences! The Maps Data Platform Storage team builds and maintains the foundation that powers Apple Maps. We are responsible for the storage and processing infrastructure that handles petabytes of map data, enabling real-time and batch updates for high-performance access across Apple’s diverse ecosystem.

Requirements

  • At least a BS and 6 years production-level development experience
  • Experience delivering end-to-end projects from gathering initial requirements through production deployment
  • Strong knowledge of building highly available, low-latency JVM-based web services
  • Ability to work with large, sophisticated codebases and long-running projects
  • Proficiency in Scala or Java (5+ years) and familiarity with a scripting language (e.g. Python)
  • 2+ years hands-on experience with at least one of: Cassandra, S3 and/or Redis
  • Detailed understanding of traditional big data tools (ie: Spark, Hadoop) and distributed data storage systems
  • Familiarity with one or more streaming technologies such as Kafka Streams, Apache Flink, or other

Nice To Haves

  • Experience with geospatial data storage and processing
  • Proven success applying Generative AI to production systems beyond prompt engineering
  • Experience working with geospatial data formats such as GeoTIFF, raster maps, shapefiles, or GeoJSON

Responsibilities

  • Create and deploy scalable storage solutions for Maps data for both real-time and batch access
  • Implement foundational platform components to support Generative AI-based multi-agent systems
  • Work closely with multi-functional teams to enhance and improve storage solutions
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