Quality Automation Engineer, Rights & Pricing- Partner Onboarding Business
Apple · Cupertino, CA · Software and Services
About this role
Apple is hiring a mid-level QA Engineer in the software engineering function based in Cupertino, CA. The posting calls out experience with Python, JavaScript, TypeScript, Java.
- Role
- QA Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Location
- Cupertino, CA
- Department
- Software and Services
- Posted
- Apr 18, 2026
More roles at Apple
Job description
from Apple careersThe Rights & Pricing engineering team provides the Apple Services platform for distribution rights by country, calculation and management of prices including retail, offers, wholesale, and tax. Rights & Pricing also includes Partner Onboarding which encompasses the vendor application process, signing of digital contracts, collection of bank account and tax information, and business systems that manage the presentation layers of payments, invoicing, and financial reporting.
We are looking for a highly skilled and hands-on QA Automation Engineer who is passionate about building scalable automation frameworks, improving product quality, and leveraging AI to accelerate testing. This role requires strong coding skills, deep understanding of test automation, and the ability to work closely with engineering and product teams to enable a shift-left, automation-first quality strategy. Provides IC leadership by shaping automation standards and driving cross-functional quality decisions
<h3>Minimum Qualifications</h3>5–8+ years of experience in QA Automation / Software Quality Engineering
Strong programming skills in JavaScript/TypeScript, Python, or Java
Hands-on experience with automation frameworks (e.g., Playwright, Selenium, Cypress)
Experience with API testing (REST, JSON, Postman, etc.)
Familiarity with CI/CD tools (Jenkins, GitHub Actions, etc.)
Solid understanding of software development lifecycle and testing methodologies
<h3>Preferred Qualifications</h3>Experience with AI/ML tools for testing (LLMs, code generation, test optimization)
Experience in distributed systems / integration testing
Knowledge of cloud environments (AWS, Kubernetes)
Experience with performance or security testing is a plus