AI & Data Platforms Engineer — Java & GenAI

Apple

Elk Grove (CA)

On-site

USD 120,000 - 180,000

Full time

10 days ago

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Job summary

Apple is seeking a Java Software Engineer within IS&T AiDP to design, build, test, and maintain backend systems and services in Java, with collaboration across product managers, designers, and partners. The role emphasizes production-quality code, scalable APIs, and clean software architecture.

The ideal candidate will have experience with cloud-based distributed systems, relational/NoSQL databases, and Java frameworks, contributing to AI-powered data platforms and enabling efficient adoption of

Qualifications

  • BS/CS or related field, or equivalent work experience.
  • 2+ years of professional software development experience.
  • 1+ years building cloud-based distributed systems with API exposure (REST/GraphQL).
  • 1+ years with relational and NoSQL databases.
  • 1+ years with Java.
  • OOP, data structures, algorithms, and GoF patterns; focus on testable backend code.

Responsibilities

  • Develop, test, document, improve, and maintain Java backend code.
  • Collaborate with engineers, PMs, designers and partners across teams.
  • Contribute to planning, design, implementation, and future iterations.
  • Assist in building AI-powered platform solutions and data services.

Skills

Java
Cloud-based distributed systems
REST/GraphQL APIs
Relational databases
NoSQL databases
Object-oriented programming
Algorithms

Education

Bachelor's degree in CS/CE or related field

Tools

Spring
Quarkus
Micronaut
Dropwizard
ServiceTalk
JUnit
Mockito
Kubernetes
AWS EKS
GCP GKE
Azure AKS

Job description

Apple is seeking a Java Software Engineer within IS&T AiDP to design, build, test, and maintain backend systems and services in Java, with collaboration across product managers, designers, and partners. The role emphasizes production-quality code, scalable APIs, and clean software architecture.

The ideal candidate will have experience with cloud-based distributed systems, relational/NoSQL databases, and Java frameworks, contributing to AI-powered data platforms and enabling efficient adoption of

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