Quality Automation Engineer - App Store QA

We are seeking a mid to senior-level Quality Automation Engineer to join the App Store QA group. App Store is one of the most widely used applications in the world, and you can directly help improve the quality of the product. You will own complete functional areas and be able to define test approaches and strategies. We require strong programming fundamentals and automation experience to help develop in all phases of the release cycle. Help us automate areas in the App Store for regression and new feature testing. You will be responsible for writing new automation tests for all Apple platforms: iOS, tvOS, macOS, visionOS, and watchOS. The Quality Automation Engineer is expected to possess the skills necessary for working closely with the engineering team during all aspects of the development process. This position requires a self-motivated and dynamic individual with strong technical and communication skills who can contribute in a team environment. Proficient in object-oriented programming with a strong command of at least one major OOP language, preferably Swift and/or Java. Solid experience with one or more scripting languages such as Python, Ruby, or shell scripting (Bash/Zsh). Deep familiarity with software testing methodologies and quality engineering best practices. Hands-on experience with Continuous Integration/Continuous Delivery (CI/CD) systems. Proven ability to develop automation test strategies, author test plans, execute test suites, and communicate results clearly. Hands-on experience testing SDKs, APIs, or developer-facing frameworks, including white-box and component-level test strategies. Experience building and evolving test automation frameworks with a focus on scalability and reliability. Strong ability to investigate, debug, and triage complex issues independently and drive them to resolution. Proficiency with version control systems, particularly Git. Ability to deliver high-quality work under tight deadlines in a fast-paced environment. B.S. in Computer Science or equivalent professional experience. Expertise in XCTest with Swift and/or Python. Demonstrated experience designing, developing, and executing test plans for AI-powered features and applications. Previous experience leveraging AI tools for automation and testing. Track record of measurably increasing functional test coverage across complex software systems. Strong organizational and interpersonal skills with the ability to collaborate cross-functionally and influence QA practices across teams.

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