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 there's no telling what we could accomplish! The Apple Services Engineering 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, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple's 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 Clickstream 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 clickstream signals useful, safe, and actionable for teams across the App Store.
Architect and operate petabyte-scale clickstream 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 clickstream 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.
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.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.