Apple
Senior Software Engineer - Maps Data Platform Storage Team
Apple, San Francisco, California, United States, 94199
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
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .