About The Position

We're seeking a Software Engineer to develop and maintain CI pipelines that serve Streaming Media Ecosystem engineers at Apple. You'll collaborate with engineering team on roadmaps, ensure pipeline uptime during critical periods, and build innovative solutions for test results reporting and triage. The role involves integrating CI systems with central build processes across all OS release trains, debugging complex distributed systems, and exploring LLM/generative AI tools to improve engineering workflows in the CI space. Ideal candidates have a passion for building high-quality developer tools, understand large-scale software shipping, driving cross-functional projects, and possess strong communication skills with a drive to enhance developer productivity and experience.

Requirements

  • BS/MS in Computer Science, Computer Engineering, or related field
  • Proficiency in scripting languages (Python, JavaScript, zsh), and application development in distributed systems
  • Experience in CI/DevOps space, with proficiency in git workflows
  • Excellent communication, problem solving, critical thinking and cross-functional collaboration skills
  • Interest in leveraging AI technologies (LLMs, generative tools) to enhance productivity and workflows

Nice To Haves

  • Knowledge of and familiarity with developing in Apple’s ecosystem, including the Unix platform, Xcode, and Apple’s OS platforms
  • Experience with embedded systems programming languages like Objective-C/Swift
  • Working experience in leveraging AI/ML systems effectively to improve productivity and workflows
  • Passion for Apple products, the CI user experience, and the developer user experience while reviewing CI results

Responsibilities

  • Develop and maintain CI pipelines
  • Collaborate with engineering team on roadmaps
  • Ensure pipeline uptime during critical periods
  • Build innovative solutions for test results reporting and triage
  • Integrate CI systems with central build processes across all OS release trains
  • Debugging complex distributed systems
  • Exploring LLM/generative AI tools to improve engineering workflows in the CI space
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