Senior Software Engineer, Clickstream Data - App Store
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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.
Description
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. ","responsibilities":"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.
Preferred Qualifications
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.
Minimum Qualifications
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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.
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. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
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Financial and Retirement
Professional Development
Diversity and Inclusion
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