6 days ago
Responsibilities
- Design and build large-scale distributed data systems and platforms.
- Develop real-time streaming pipelines processing millions of events per second with sub-second latency.
- Build AI agentic workflows, MCP servers, and LangGraph-powered workflows for production data systems.
- Develop and maintain production-grade applications using Java and/or Scala.
- Collaborate with Apple TV and Video teams to support customer-facing products.
- Create architecture and design documents and translate multifunctional requirements into engineering tasks.
- Ensure systems are scalable, highly available, reliable, and privacy-focused.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
- 5+ years of experience developing and maintaining production-grade applications using Java and/or Scala.
- 5+ years of experience designing and building large-scale distributed systems using Apache Spark, Apache Flink, Apache Kafka, or Cassandra.
- Hands-on experience with artificial intelligence technologies, including MCP servers, agentic workflows, and large language models.
- Understanding of software engineering fundamentals, including algorithms and data structures.
- Ability to work independently, create architecture and design documents, and translate requirements into practical engineering tasks.
Tech Stack
Categories
AI ApplicationsData 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.