Senior Software Engineer - Distributed Systems

Apple • San Diego, CA

1d

About The Position

Apple’s Data Analytics team is seeking a distributed systems engineer to work on its device telemetry platform. The team builds services and applications to parse, persist, and understand how Apple customers use their devices. It collects, analyzes, and produces insights from diagnostic and usage data, which are used to improve products and services and inform the direction of Apple platforms.

The team’s engineering responsibilities span device systems, data collection, compute, and query and visualization interfaces. In this role, you will work cross-functionally to design, build, and iterate on stream-processing and ingestion pipelines. You will collaborate with data scientists and engineers across Apple to capture and refine requirements, validate design decisions, and implement solutions. The role has high visibility and impact within Apple’s Software Engineering organization.

Requirements

• Undergraduate degree in Computer Science or a related field, or equivalent experience.
• 3–5+ years of experience working on large distributed systems, ideally on a public cloud platform.
• Extensive experience with container-based orchestration, such as Kubernetes, EC2, or GCP.
• Practical knowledge of queue or stream consumers such as Flink and Kafka.
• High proficiency with agentic development techniques.
• Unwavering commitment to CI/CD.
• Exposure to profiling and optimizing large-scale compute and data pipelines.
• Comfort and adaptability 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

• Production query engine experience, such as Presto, Trino, or Athena.

Responsibilities

• Design, build, and iterate on stream-processing and ingestion pipelines.
• Collaborate with data scientists and engineers across Apple to capture and refine requirements, validate design decisions, and implement solutions.
• Build services and applications to parse, persist, and understand device diagnostic and usage data.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior