3 days ago
Responsibilities
- Design, build, and iterate on distributed stream processing and data ingestion pipelines.
- Develop services and applications to parse, persist, query, and analyze diagnostic and usage data.
- Collaborate cross-functionally with data scientists and engineers to capture requirements and validate design decisions.
- Contribute across device data collection, compute, query, and visualization interfaces.
- Profile and optimize large-scale compute and data pipelines.
Requirements
- Undergraduate degree in Computer Science or a related field, or equivalent experience.
- At least 3 years of experience working on large distributed systems, ideally on a public cloud platform.
- Extensive experience with container-based orchestration and platforms such as Kubernetes, EC2, and GCP.
- Practical knowledge of queue and stream consumers such as Flink and Kafka.
- Highly proficient with agentic development techniques.
- Commitment to CI/CD.
- Excellent verbal and written communication skills and the ability to adapt to shifting priorities.
- Production query engine experience with Presto, Trino, or Athena is a plus.
Tech Stack
Categories
BackendData Engineering
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.