Data Platform SRE

People at Apple don’t just build products — they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. The Apple Services Engineering (ASE) organization builds and provides systems and infrastructure that fuel Apple’s services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple’s software developers build the products that our customers love. We are looking for passionate and talented Site Reliability Engineers to continue our focus on providing our customers the highest quality Apple Services experience. Our services have to scale globally, stay highly available, and "just work.” If you love designing, engineering and running systems and infrastructure that will help millions of customers, then this is the place for you!

Description

Apple Cloud Services infrastructure is planetary scale. Data Platform Site Reliability Engineering manages infrastructure and applications on bare-metal and cloud computing platforms to deliver data processing, governance, and storage for many of Apple’s global products and organizations. Our platform teams work with exabytes of data, terabytes of memory, and hundreds of thousands of jobs to enable predicable and performant data analytics enabling features in Apple Music, TV, Maps, News, and other world class products. Ensuring all of these technologies in geographically distributed data centers and platforms work together in harmony presents unique challenges. As an SRE at Apple, you’ll need to solve problems that arise using empirical data, teamwork, and your own unique expertise. Data Platform SRE work directly with our partner engineering teams, operating in unison with the developers to deliver seamless experiences for our customers. We run a mix of open source, vendor licensed, and internally developed tools which you will use and have opportunities to improve upon. The cross functional team collaborates to ensure we apply a consistent incident management process across all data platform services and provide user journey based SLOs derived from exhaustive observability metrics, high availability architecture, and automation for deployments. We think critically and strive to balance the best solution with the need to get things done for each engineering challenge we face. Good ideas are heard and results are rewarded.

Minimum Qualifications

BS/MS in Computer Science or Equivalent (4+ years of software development or production operations experience in a large-scale environment) Understanding of the Linux Operating System, standard networking protocols, and components Experience with scale testing, disaster recovery, and capacity planning Experience collaborating with cross-functional teams to optimize the platform for performance, scalability, and cost-efficiency Experience with deploying, supporting and monitoring new and existing services, platforms, and application stacks

Preferred Qualifications

Subject Matter Expertise in leading large-scale migration and modernization initiatives in the data analytics domain, providing expert guidance to customers as they transition to cutting-edge systems. Proven track record of collaborating with customers, partners, stakeholders at senior leadership level to define and execute migrations strategy Strong sense of ownership and integrity demonstrated through clear communication and collaboration Working knowledge of the architecture, deployment, performance tuning, and troubleshooting of open-source data analytics technologies, particularly Apache Spark, Apache HDFS, Trino, and related software in large-scale environments Acute drive to automate manual operations and to improve them through repeated iteration Excellent troubleshooting and problem solving skills