19 hours ago
London, United KingdomSenior
Responsibilities
- Design, build, and operate large-scale distributed systems and big-data platform components.
- Develop data pipelines and real-time streaming applications supporting Apple services.
- Gather requirements and translate ambiguous business needs into clear technical specifications.
- Deliver reliable, well-tested, maintainable code while reasoning about complex failure modes.
- Collaborate with product, business, client engineering, and distributed engineering teams.
- Use AI tools and agentic engineering approaches to accelerate development, operations, and support work.
Requirements
- Substantial experience designing, building, and operating business-critical large-scale distributed systems.
- Fluency in at least one statically typed language, ideally Java or Scala.
- Strong understanding of concurrency, memory management, networking, performance optimization, and big-data fundamentals.
- In-depth understanding of at least one distributed or big-data system such as Kafka, Flink, Spark, Trino, Iceberg, or Cassandra.
- Practical experience maintaining large-scale data pipelines with Spark and Flink is preferred.
- Experience with cloud, container, and infrastructure tools such as Kubernetes and Docker is preferred.
- Effective use of AI tools such as Claude in day-to-day engineering is preferred.
- Contributions to open-source data-processing projects are preferred.
- Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent experience.
- Excellent written and verbal communication across distributed teams.
Tech Stack
Categories
BackendData Engineering
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.
