Senior Software Engineer - Distributed Systems

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.

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

Preferred Qualifications

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

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

Are you ready to embrace massive scale? Undaunted ingesting petabytes of raw data each day from more than a billion customer devices?