**Role Number:** 200680263-3956
**Summary**
The AppleCare Field Service Diagnostics Engineering team is seeking candidates with strong experience building automation frameworks and tools to validate diagnostic and repair tools used to service Mac, iPhone, iPad, Apple Watch, AirPods, and Apple Vision Pro. This position requires a passionate and self-motivated individual with excellent cross-functional communication skills, flexibility, and the ability to adjust to rapid change. The ideal candidate is naturally curious, eager to deep-dive into technical areas, and inclined to explore and integrate AI initiatives into existing processes.
**Description**
In this role you’ll be responsible for the team’s overall automation strategy — from idea to fully built solution. This will involve working with teams all across Apple. You will expand the team’s automation frameworks, build new tools, set up monitoring systems, and be responsible for ensuring the team is fully ready to test the latest generation of Apple products while maintaining the high quality of our existing diagnostic and repair systems.
**Minimum Qualifications**
+ BA/BS degree in a related field, or equivalent work experience
+ 5+ years of Swift and Python programming experience.
+ Experience building and growing XCUITests and supporting frameworks.
+ Possess a proven understanding of software testing and QA methodologies.
+ Ability to extract user scenarios from software feature descriptions and requirements to translate them into effective test plans and cases.
+ Strong written and verbal communication skills, and thrives in a dynamic, collaborative team environment.
+ Strong knowledge of Unix-based systems.
**Preferred Qualifications**
+ Understanding of CI/CD systems, like Jenkins.
+ Understanding Apple Service Toolkit 2 and Field Diagnostics ecosystems.
+ Exposure to MDM solutions like Puppet or Ansible.
+ Previous professional experience with robotics.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.