Streaming Platform Engineer - Real-Time Data at Scale

Apple, Inc.; Seattle (WA); On-site; USD 142,000 - 263,000; Full time

Job summary

Apple Streaming Platform and Solutions is seeking a Software Engineer in Seattle to design and evolve distributed data systems powering Apple Music, TV, and Podcasts. You will own end-to-end services, optimize cross-datacenter replication, and bring data to the edge with low latency.

You will work with real-time streaming, large-scale processing, and tooling that supports global availability. A strong foundation in distributed systems and Java development is essential for success at Apple.

Qualifications

• 1–5 years in server-side Java with 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.
• CS degree (BSc/MSc/PhD) or equivalent practical experience.

Responsibilities

• Translate complex business needs into technical specifications.
• Design, build, and deploy high-performance, fault-tolerant distributed systems.
• Lead end-to-end software development and ownership of production services for data movement and storage.
• Lead and participate in design reviews, setting architectural standards and best practices.
• Identify bottlenecks and propose innovative technical solutions.
• Pursue R&D and PoC projects to evaluate emerging technologies.

Skills

Java development

Distributed systems

Data structures

REST APIs

Concurrency

Performance

Education

CS degree (BSc/MSc/PhD) or equivalent practical experience

Tools

Kafka

Cassandra

Redis

Schema Registry

Object store

Kubernetes

AWS

GCP

Job description

Apple Streaming Platform and Solutions is seeking a Software Engineer in Seattle to design and evolve distributed data systems powering Apple Music, TV, and Podcasts. You will own end-to-end services, optimize cross-datacenter replication, and bring data to the edge with low latency.

You will work with real-time streaming, large-scale processing, and tooling that supports global availability. A strong foundation in distributed systems and Java development is essential for success at Apple.