Senior Software Engineer, Clickstream Data — App Store at Apple

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

0.0

Posted On

15 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Data Systems, Scala, Java, Distributed Systems, Spark, Kafka, Hadoop, Flink, SQL, Docker, Kubernetes, CI/CD, Generative AI, Data Storage, Observability

Industry

Computers and Electronics Manufacturing

Description

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. 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. MINIMUM QUALIFICATIONS 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. 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.

Responsibilities

As a Senior Software Engineer, you will design and operate large-scale distributed systems and build production-grade Generative AI applications. You will make clickstream signals useful, safe, and actionable for teams across the App Store.