Software Engineer (Distributed Systems, Java)

The Apple Services Engineering team is one of the most exciting examples of Apples long-held passion for combining art and technology. We are the people who power the Apple TV Apple Music Apple Music Classical Apple Podcasts and Apple Books. And we do it on a massive scale meeting Apples high expectations with high performance to deliver a huge variety of entertainment across multiple countries and to Apples unique integration of hardware software and services engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apples privacy policy one of Apples core values. Although services are a bigger part of Apples business than ever before these teams remain small nimble and cross-functional offering greater exposure to the array of opportunities here.

The Apple Services Engineering team is looking for great engineers to build and improve features and services driving Podcasts Apple Music Apple Music Classical and team is responsible for many of the key systems powering personalisation features of Apple services. This includes personalised podcasts and music experiences. Here you have a phenomenal opportunity to help build and evolve global-scale leading-edge dynamic data systems with positions currently available as we grow our amazing London are responsible for the full development lifecycle (system design implementation continuous optimisation and improvement). We build systems that serve millions of customers across promote innovation and new technology to further improve our creative output. If youre an all round and performance-savvy Java server engineer with an interest in and experience of large scale data technologies and systems wed love to hear from you.

Building products and services for millions of users with a focus on great customer experience and privacynDeploying live customer-facing features with millisecond-latencies globally over large datasetsnDistributed systems caches and data storesnData modelling and data architecture as optimised for large data patterns (efficient storage and query on HDFS realtime query patterns in key-value stores columnar schema design etc.)nLarge scale data pipelines using Kafka and Hadoop-ecosystem technologies

Ability to communicate effectively demonstrating problem-solving skills and a learning attitudenProven experience in designing implementing and scaling systems and services in JavanDemonstrable knowledge of algorithms u0026 data structuresnUnderstanding of distributed systems and data storage conceptsnUndergraduate degree related to computing or equivalent experience in Java core programming is required

Collaborating with multiple teams for delivering projects and featuresnMaking critical architectural decisions that have long-term impact on successn