Job description

As an engineer on our team, you will advance our data infrastructure, driving innovation by implementing cutting-edge capabilities and tools that will power Apple Services Engineering. You’ll collaborate closely with a dedicated team of open source data experts (including Spark, Flink, Kafka, Iceberg committers amongst others) to enhance and automate our infrastructure, ensuring seamless management across both data centers and cloud services. Your work will directly contribute to the resilience, scalability, and performance of the systems that support millions of users worldwide. What you can expect to do and contribute to: • 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 This is an opportunity to join a dynamic and evolving team where your contributions will shape the future of our Apple’s technology landscape. 8+ years of professional experience A successful track-record or demonstrated aptitude as an engineer who has worked on distributed systems. Experienced Poweruser (at least 2 years of running production applications) of Apache Flink or Committer to Apache Flink. BS or MS degree in computer science or equivalent professional experience. Good knowledge of Apache Iceberg and Apache Kafka. Experience working on or building connectors from Flink to any of the data sources. Knowledge of Yarn, Kubernetes or other compute substrate.

Requirements

Must-haves

What you can expect to do and contribute to:
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
This is an opportunity to join a dynamic and evolving team where your contributions will shape the future of our Apple’s technology landscape.
8+ years of professional experience
A successful track-record or demonstrated aptitude as an engineer who has worked on distributed systems.
Experienced Poweruser (at least 2 years of running production applications) of Apache Flink or Committer to Apache Flink.
BS or MS degree in computer science or equivalent professional experience.
Good knowledge of Apache Iceberg and Apache Kafka.
Experience working on or building connectors from Flink to any of the data sources.
Knowledge of Yarn, Kubernetes or other compute substrate.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

apikubernetes

Platform: apple
Effort: medium