About The Position

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. The most important story about any Apple application is data. As a software engineer in AiDP data services team, you will work on building database managed services and data streaming platform that power some of Apple’s most critical business use cases. You will collaborate with exceptional database engineering teams and internal stakeholders in building these solutions.

Requirements

  • 2+ years of extensive professional experience with the Go or Java programming language.
  • 3+ years of software development experience.
  • Experience in developing highly optimized SQLs, procedures for distributed data applications.
  • BS in Computer Science, or similar degree or equivalent industry experience.

Nice To Haves

  • MS in Computer Science, or equivalent experience.
  • Works well in dynamic environments, collaborating effectively with many other teams across our organization.
  • Strong programming in Golang.
  • Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful/gRPC services, ETL, queues and notification services.
  • Experience with Kubernetes, Docker, and containerization.
  • Knowledge in multi-threading, concurrency and parallelism.
  • Have written or contributed to a batch or realtime processing system.
  • Able to quickly learn and adapt to new technologies.

Responsibilities

  • Work on building database managed services and data streaming platform.
  • Collaborate with exceptional database engineering teams and internal stakeholders in building these solutions.
  • Influence platform tools, APIs and architecture.
  • Deliver a best in class product in a dynamic environment.
  • Build services and client software using Go.
  • Design and develop cloud-based applications that include compute services, database services, APIs to design RESTful/gRPC services, ETL, queues and notification services.
  • Contribute to a batch or realtime processing system.
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