Software Engineer, Apple Streaming Platform and Solutions

Apple • Seattle, WA

1h

About The Position

Apple is seeking an experienced software engineer for the Data Solutions team within Data Services. The team builds and operates reliable, scalable, low-latency data infrastructure that supports Apple services including Apple Music, TV, and Podcasts. The role focuses on high-scale real-time streaming, large-scale data processing, and cross-datacenter replication to make user data available at the edge with minimal latency. Apache Kafka is central to the streaming and replication infrastructure. Engineers own their platforms end-to-end, from system internals and protocol-level work through operational tooling, observability, and multi-region deployment. The team is also automating existing systems and integrating them into a centralized cloud platform.

Requirements

• 1–5 years of professional experience in server-side Java development, with a 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.

Nice To Haves

• Experience with distributed data systems such as Cassandra, Redis, Kafka, or similar platforms.
• Experience with Apache Kafka, including broker internals, producers and consumers, and ecosystem tooling.
• Experience with Schema Registry and object stores.
• Experience with multi-datacenter deployments, replication strategies, and consistency models.
• Hands-on experience with cloud platforms and container orchestration such as 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.

Responsibilities

• Build and evolve distributed data systems supporting Apple’s consumer services.
• Work on high-scale streaming and data processing platforms.
• Optimize cross-datacenter replication and deliver user data to the edge with low latency.
• Own platforms end-to-end, including internals, protocol-level work, operational tooling, observability, and multi-region deployment.
• Automate existing systems and integrate them into a centralized cloud platform.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level