The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV and Sports, Apple Music, Podcasts, and Books along with Cloud and Infrastructure Services platforms.

As part of Apple Services Engineering (ASE), you will have a meaningful role in designing, developing, and deploying high-performance systems that handle millions of queries every single day. This enormous scale brings challenges that require extraordinarily creative problem-solving. By focusing on and respecting the customer’s needs, you’ll be responsible for helping us build the technology that works for so many customers around the world.

As a senior engineer on our team, you will advance our data infrastructure, driving innovation by implementing cutting-edge capabilities and tools that will power Apple Services Engineering. You’ll collaborate closely with a dedicated team of open source data experts (including Spark, Flink, Kafka, Iceberg committers amongst others) to enhance and automate our infrastructure, ensuring seamless management across both data centers and cloud services. Your work will directly contribute to the resilience, scalability, and performance of the systems that support millions of users worldwide.

What you can expect to do and contribute to:

• Develop and deploy new features of Apple’s internal data platform.
• Regularly contribute to open source.
• Collaborate with cross-functional teams to design and implement automation tools that streamline operations and reduce manual intervention.
• Optimize our cloud-based services to ensure they scale effectively, handling increasing loads while maintaining high performance.
• Innovate on API development and integration, enabling seamless communication between our applications and services

This is an opportunity to join a dynamic and evolving team where your contributions will shape the future of our Apple’s technology landscape.

8+ years of demonstrated aptitude and proven success as a senior engineer with expertise designing and managing large-scale distributed systemsExperienced Poweruser of Apache Flink or Committer to Apache FlinkGood knowledge of Apache Iceberg and Apache Kafka.Experience working on or building connectors from Flink to any of the data sources.Knowledge of Yarn, Kubernetes or other compute substrate.