Senior Distributed Systems Engineer - Data & AI

Apple Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Employee stock plan

Discretionary bonuses

Education reimbursement

Relocation assistance

Job summary

Apple is seeking a Senior Software Engineer for Apple Services Engineering in Cupertino, CA. You will design and build distributed data processing systems powering services across Apple TV, Music, Arcade, and more, collaborating with cross-functional teams to deliver scalable, reliable platforms.

Lead with Java/Scala expertise and deep knowledge of Spark/Flink/Kafka/Cassandra, while advancing AI-enabled workflows and integration of LLMs into production-grade data systems.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• 5+ years of experience developing and maintaining production-grade applications using Java and/or Scala.
• 5+ years of experience designing and building large-scale distributed systems using technologies such as Apache Spark, Apache Flink, Apache Kafka, or Cassandra.
• Hands-on experience with Artificial Intelligence (AI) technologies, including building MCP Servers, designing Agentic workflows, and integrating Large Language Models (LLMs).

Responsibilities

• Architect and build scalable distributed data processing systems.
• Partner with teams to deliver real-time insights and reliable data products.
• Contribute to design and review of core data platforms and AI-enabled workflows.

Skills

Java

Scala

Education

Bachelor's degree in Computer Science, Computer Engineering, or a related field

Tools

Apache Spark

Apache Flink

Apache Kafka

Cassandra

MCP Servers

Agentic workflows

LLMs

Job description

Apple is seeking a Senior Software Engineer for Apple Services Engineering in Cupertino, CA. You will design and build distributed data processing systems powering services across Apple TV, Music, Arcade, and more, collaborating with cross-functional teams to deliver scalable, reliable platforms.

Lead with Java/Scala expertise and deep knowledge of Spark/Flink/Kafka/Cassandra, while advancing AI-enabled workflows and integration of LLMs into production-grade data systems.