This role at Apple involves designing, developing, and maintaining software for a high-volume log ingestion pipeline. The team focuses on processing large amounts of data from billions of iOS devices, enriching maps data, and providing real-time traffic information. Candidates will work on big data challenges that require low latency processing of geospatial and temporal data. The position is based in Cupertino, California, with potential opportunities in various locations across the USA.

• Master's degree or foreign equivalent in Information Technology, Computer Science, or a related field.
• 2 years of experience in the job offered or a related occupation.
• Experience using Java or C++ programming languages.
• Understanding of distributed systems design principles and techniques.
• Experience with public cloud infrastructures such as AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of NoSQL databases and object storage using HDFS and Cassandra.

• Design and implement scalable server-side APIs.
• Build and maintain a high-volume crowdsourcing platform.
• Process hundreds of thousands of requests per second and multiple petabytes of data daily.
• Utilize cloud storage concepts like data distribution, durability, consistency, and redundancy.
• Develop and test software systems using unit tests and Protocol Buffers.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.