About the position
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.
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.
Requirements
- 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.
Nice-to-haves
- 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.
Benefits
- Comprehensive medical and dental coverage.
- Retirement benefits.
- A range of discounted products and free services.
- Reimbursement for certain educational expenses — including tuition.
- Discretionary bonuses or commission payments.
- Relocation assistance.
