About The Position

Apple's Data Analytics team is looking for a motivated and driven distributed systems engineer to work on our device telemetry platform. We need a talented software developer to join our tight-knit cross-functional engineering team, building services and applications to parse, persist, and understand how Apple customers use their devices. We collect, analyze, and produce insights from diagnostic and usage data from Apple devices. Our data is used to improve products and services and inform the overall direction of Apple platforms. Our engineering responsibility spans device, data collection, compute, and query and visualization interfaces. As part of the Data Analytics team, you will similarly work cross-functionally to design, build, and iterate on our stream processing and ingestion pipeline. Collaborating with data scientists and engineers across Apple, you will capture and refine requirements, validate design decisions, and implement. This role has high visibility and impact within the Apple Software Engineering organization.

Requirements

  • BS degree in Computer Science, equivalent field or equivalent work experience
  • 5+ years SW development experience
  • Have worked on large distributed systems, ideally on a public cloud platform like AWS
  • Extensive experience with container-based orchestration (Kubernetes, EC2, Mesos, etc.)
  • Practical knowledge of queue/stream consumers like Flink or Kinesis
  • Exposure to profiling and optimization of scale compute and data pipelines
  • Unwavering commitment to CI/CD
  • Comfortable and adaptable in a dynamic/informal environment with shifting priorities
  • Excellent verbal and written communication skills
  • Self-motivated and dedicated with creative and critical thinking capabilities

Nice To Haves

  • Big data query engine production experience (Presto/Trino/Athena, etc.)

Responsibilities

  • Building services and applications to parse, persist, and understand how Apple customers use their devices.
  • Collecting, analyzing, and producing insights from diagnostic and usage data from Apple devices.
  • Improving products and services and informing the overall direction of Apple platforms.
  • Designing, building, and iterating on our stream processing and ingestion pipeline.
  • Capturing and refining requirements, validating design decisions, and implementing.
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