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
Responsibilities - Partner both directly and independently with a wide array of partners to iterate on our platform offerings
- Design and implement scalable storage architectures supporting dynamic use cases
- Drive end-to-end delivery of the software projects and enable platform users across the Maps organization
- Support and improve new and existing backend storage systems that power Apple Maps
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
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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 .
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