Staff Software Development Engineer - Flink, Apple Data Platform
3 Months ago • All levels • $181,100 PA - $318,400 PA
Data Analysis
Job Description
Seeking extraordinary software engineers with deep experience in scalable streaming processing systems. You will have a passion to push the limits of distributed stateful streaming computing frameworks to get every ounce of performance out of them. Looking for engineers with in-depth knowledge of systems like Flink, Beam, Kafka, Iceberg and other existing frameworks. Also someone who will be passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple. 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 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.
Must Have:
Experience with scalable streaming processing systems
Deep knowledge of Flink, Beam, Kafka, Iceberg
Passion to push limits of distributed stateful streaming computing frameworks
Collaborate with internal and external communities
Develop and deploy new features of internal data platform
Contribute to open source
Design and implement automation tools
Optimize cloud-based services for scalability and performance
Innovate on API development and integration
Add these skills to join the top 1% applicants for this job
cross-functional
spark
Seeking extraordinary software engineers with deep experience in scalable streaming processing systems. You will have a passion to push the limits of distributed stateful streaming computing frameworks to get every ounce of performance out of them. Looking for engineers with in depth knowledge of systems like Flink, Beam, Kafka, Iceberg and other existing frameworks. Also someone who will be passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple.
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.
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