Software Engineer, Apple Services Engineering, Music Data Engineering

What you'll do

• Design and implement features for processing and serving very large, mission-critical datasets.
• Build scalable data processing pipelines to power customer features in Apple Music.
• Develop high-throughput and reliable systems to model, ingest, and compute large-scale data.
• Engineer innovative solutions and perform hands-on development to deliver products in a dynamic environment.
• Provide technical guidance and establish best practices for the engineering team.
• Troubleshoot and prevent performance issues related to distributed storage and network resources.
• Build and run large-scale data pipelines using distributed messaging and streaming compute components.

What we're looking for

• Bachelor's degree or equivalent in Computer Science or a related discipline.
• Significant experience in designing, implementing, and supporting highly scalable data systems and services in Java and/or Scala.
• Experience in Spark, Kafka, and Web Services (preferred).
• Experience designing Java-based micro-services using best practices and open-source libraries including DropWizard and Spring (preferred).
• Experience with large-scale data processing technologies such as Spark, Flink, Hadoop, Object-Stores, or AWS Lambda (preferred).
• Experience building and running large-scale data pipelines, including distributed messaging like Kafka (preferred).
• Knowledge of distributed storage and network resources at the host, cluster, and DC levels (preferred).
• Experience with low-latency NoSQL datastores including Cassandra and S3 (preferred).