Job description

Apple’s Streaming Platform and Solutions engineering team, within the broader ASE Data Services organization, builds and operates data infrastructure that is reliable, scalable, and low-latency. The team focuses on real-time data streaming, large-scale data processing, and optimizing cross-datacenter replication to bring user data to the edge with the smallest possible latency. Apache Kafka plays a central role in our streaming and replication infrastructure, and familiarity with its ecosystem is a meaningful advantage. Our systems sit at the heart of services like Apple Music, TV, and Podcasts, ensuring that data is available where and when it’s needed — anywhere in the world. A key focus for this team is automating existing systems and integrating them into a centralized cloud platform — modernizing the infrastructure that underpins these services and building the tooling that lets us operate them at scale. Engineers on this team own their platforms end-to-end: from internals and protocol-level work to operational tooling, observability, and multi-region deployment. 1 - 5 Years of professional experience in server-side Java development with strong understanding of concurrency, memory management, and performance. Experience designing, building, and operating large-scale distributed systems. Solid understanding of data structures, algorithms, fault tolerance, and system performance. Experience with RESTful API design and service-oriented architectures. Bachelor’s, Master’s, or PhD in Computer Science or a related technical field, or equivalent practical experience. Experience with distributed data systems such as Cassandra, Redis, Kafka, or similar platforms. Experience with Apache Kafka - including broker internals, producers/consumers, and ecosystem tooling - is a strong plus. Experience with Schema Registry, Object store Experience with multi-datacenter deployments, replication strategies, and consistency models. Hands-on experience with cloud platforms and container orchestration (e.g. Kubernetes, AWS, GCP, or similar). Exposure to observability practices including monitoring, alerting, and performance benchmarking. Experience with fault injection, chaos engineering, or property-based testing methodologies. Contributions to open-source projects, especially in the data infrastructure ecosystem.

Requirements

Must-haves

1 - 5 Years of professional experience in server-side Java development with strong understanding of concurrency, memory management, and performance.
Experience designing, building, and operating large-scale distributed systems.
Solid understanding of data structures, algorithms, fault tolerance, and system performance.
Experience with RESTful API design and service-oriented architectures.
Bachelor’s, Master’s, or PhD in Computer Science or a related technical field, or equivalent practical experience.
Experience with distributed data systems such as Cassandra, Redis, Kafka, or similar platforms.
Experience with Apache Kafka - including broker internals, producers/consumers, and ecosystem tooling - is a strong plus.
Experience with Schema Registry, Object store
Experience with multi-datacenter deployments, replication strategies, and consistency models.
Hands-on experience with cloud platforms and container orchestration (e.g. Kubernetes, AWS, GCP, or similar).
Exposure to observability practices including monitoring, alerting, and performance benchmarking.
Experience with fault injection, chaos engineering, or property-based testing methodologies.
Contributions to open-source projects, especially in the data infrastructure ecosystem.

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

javaapikubernetesawsgcp

Platform: apple
Effort: medium