Senior Software Engineer - Maps Data Platform Storage Team

Weekly Hours : 40

Role Number : 200620973-3401

Summary

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!

Description

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.

As an Engineer on our team, you will (among other things) :

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

This position is ideal for innovative team members who are passionate and comfortable when working with complexity and ambiguity to deliver tangible results

Minimum Qualifications

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

Preferred Qualifications

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

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