Senior Quality Automation Engineer, Rights & Pricing- Partner Onboarding Business
✨ AI Summary
Apple is hiring a Senior Quality Automation Engineer for its Rights & Pricing team in Cupertino, focusing on partner onboarding and financial systems for the Apple Services platform. This senior IC role requires 5-8+ years of QA automation experience, strong coding in JavaScript/TypeScript, Python, or Java, and hands-on use of frameworks like Playwright, Selenium, or Cypress, plus API testing and CI/CD tools. Preferred skills include AI/ML testing tools, distributed systems, and cloud environments like AWS or Kubernetes. No salary or remote policy is mentioned.
The 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
Minimum Qualifications
- 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
Preferred Qualifications
- 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
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