Senior Software Engineer - Distributed Systems
Summary
Senior engineer on Apple's Data Analytics team building the device telemetry platform — designing and iterating on stream processing and ingestion pipelines that parse and persist petabytes of diagnostic and usage data daily from over a billion devices. Core stack includes Kubernetes, cloud platforms (EC2/GCP), Flink, Kafka, and CI/CD, with bonus exposure to Presto/Trino/Athena.
Are you ready to embrace massive scale? Undaunted ingesting petabytes of raw data each day from more than a billion customer devices?
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.
Minimum Qualifications
- Undergraduate degree in Computer Science or related field, or equivalent experience
- 3-5+ years experience working on large distributed systems, ideally on a public cloud platform
- Extensive experience with container-based orchestration (Kubernetes, EC2, GCP, etc.)
- Practical knowledge of queue/stream consumers like Flink and Kafka
- Highly proficient with agentic development techniques
- Unwavering commitment to CI/CD
Preferred Qualifications
- Exposure to profiling and optimization of scale compute and data pipelines
- 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
- Plus: Production query engine experience (Presto/Trino/Athena, etc.)