This role seeks experienced software engineers with a strong background in scalable batch and streaming processing systems. The team focuses on advancing data infrastructure and driving innovation within Apple Services Engineering. Engineers will collaborate with open source data experts to enhance and automate infrastructure, ensuring effective management across data centers and cloud services. The work will significantly contribute to the performance and scalability of systems supporting millions of users worldwide.

• 8+ years of professional experience in software engineering.
• Demonstrated experience working on distributed systems.
• At least 2 years of experience running production applications using Apache Spark.
• BS or MS degree in computer science or equivalent.
• Good knowledge of Apache Iceberg and Apache Kafka.
• Experience building connectors from Spark to various data sources.
• Familiarity with Yarn, Kubernetes, or other compute substrates.

• Advance data infrastructure by implementing cutting-edge capabilities and tools.
• Collaborate closely with a dedicated team of open source data experts.
• Enhance and automate infrastructure for seamless management across data centers and cloud services.
• Contribute to the resilience, scalability, and performance of systems supporting millions of users.

• 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.