Advance Apple's data infrastructure by implementing cutting-edge capabilities and tools that will power Apple Services Engineering, ensuring seamless management across data centers and cloud services, and contributing to the resilience, scalability, and performance of systems supporting millions of users worldwide.
Requirements
- deep experience in scalable streaming processing systems
- in depth knowledge of systems like Spark, Beam, Kafka, Iceberg and other existing frameworks
- Experienced Poweruser (at least 2 years of running production applications) of Apache Spark or Committer to Apache Spark.
- Good knowledge of Apache Iceberg and Apache Kafka.
- Experience working on or building connectors from Spark to any of the data sources.
- Knowledge of Yarn, Kubernetes or other compute substrate.
Responsibilities
- Develop and deploy new features of Apple’s internal data platform.
- Regularly contribute to open source.
- Collaborate with cross-functional teams to design and implement automation tools that streamline operations and reduce manual intervention.
- Optimize our cloud-based services to ensure they scale effectively, handling increasing loads while maintaining high performance.
- Innovate on API development and integration, enabling seamless communication between our applications and services
Other
- 8+ years of professional experience professional experience.
- A successful track-record or demonstrated aptitude as an engineer who has worked on distributed systems.
- passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple.
- dynamic and evolving team
- contributions will shape the future of our Apple’s technology landscape.
