Software Engineer - Data Solutions

Requirements

• Proficiency in Java and/or C++, with strong understanding of concurrency, memory management, and performance with a focus on distributed systems or data infrastructure at scale.
• 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 degree in Computer Science 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/consumers, and ecosystem tooling — is a strong plus.
• 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.

What You'll Be Doing

• Real-time data streaming and event-driven pipelines
• Cross-datacenter replication and consistency
• Edge delivery optimization for lowest-latency data access
• Platform reliability, observability, and incident response
• Automation of existing systems and integration into centralized cloud platforms

Perks and Benefits

• Imagine what you could do at Apple, shaping the future of data infrastructure
• Work on high-scale streaming and data processing platforms impacting millions of users