Imagine what we could do together. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and theres no telling what we could accomplish! 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 App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apples high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries. The App Store team powers the data backbone behind discovery, search, trust and safety, developer insights, and experimentation across billions of daily user interactions. We ingest, model, and activate high-volume event data in near real time with uncompromising standards for privacy, reliability, and latency. As a Senior Software Engineer, you will design and operate large-scale distributed systems and build production-grade Generative AI applications that make App Store signals useful, safe, and actionable for teams across the Apple. Architect and operate petabyte-scale App Store pipelines with strict SLAs. Define event taxonomies, schemas, and governance to ensure durable contracts, lineage, and high-quality metadata. Ship privacy-by-design processing: PII minimization, consent enforcement, differential privacy, and edge-friendly patterns. Build production GenAI services with App Store context: embeddings, vector search, RAG, prompt orchestration, guardrails, and automated evals. Lead incident response and root-cause analysis; automate backfills, reprocessing, and lineage-aware rollbacks. Mentor engineers, influence architectural roadmaps, and improve on code quality, testing, performance, reliability, and documentation. Requirements: 8+ years of hands-on software engineering experience building large-scale data systems. Strong programming skills in one or more of Scala and Java. Hands-on expertise with distributed data systems such as Spark, Kafka, Hadoop, Flink. Solid foundation in data storage and SQL: (S3/HDFS/Parquet), and lakehouse tables (Iceberg/Delta/Hudi). Solid systems fundamentals: algorithms, data structures, concurrency, consistency, caching, and observability. Built and operated services with Docker/Kubernetes, automated CI/CD and low-latency inference systems. BS/MS/PhD in Computer Science or related field, or equivalent experience. Familiarity shipping GenAI apps to production: embeddings, vector DBs, RAG, prompt orchestration. Excellent communication and collaboration skills; ability to influence multi-functional partners and drive complex projects to completion.
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.