Quality Assurance Automation Engineer - Manufacturing Systems and Infrastructure
Apple · Operations and Supply Chain
Apply ↗Skills
["C++""CI/CD""Docker""Objective-C""Python""RAG""Swift"]Technology stack
{"programming_languages": ["Python""Swift""Objective-C""C++"]"frameworks": []"databases": []"cloud": []"infrastructure": ["Docker""CI/CD"]"data_tools": []"ai_ml": ["RAG"]"other_tools": []}Description
As a Quality Assurance Automation Engineer with the MSI team, you will leverage Large Language Models and AI-native testing tools to rapidly build, scale, and maintain automated test suites across web, mobile, and API interfaces. You will design intelligent automation frameworks, generate synthetic datasets for edge-case and load testing, and embed smart execution strategies into CI/CD pipelines - all while championing GenAI adoption and best practices across the QA organisation.
Requirements
["5+ years of experience in QA Automation, System Development in Test (SDET), or a similar engineering role", "Expertise in Python, C/C++, Objective-C, and Swift, leveraging modern AI-assisted (vibe coding) development workflows", "Deep experience applying AI-powered techniques to generate, optimise, and maintain automated test suites with modern testing frameworks such as Playwright, Cypress, Selenium, Appium, or XCTest", "Demonstrated ability to write effective prompts to extract test scenarios, edge cases, and automation code from Large Language Models", "Familiarity with AI-powered testing tools (e.g., Applitools Eyes, ReportPortal's ML auto-analyzer, or self-healing UI tools)", "Solid understanding of CI/CD pipelines, Docker, and version control (Git)", "Ability and willingness to travel up to 30% (domestic and international)", "Bachelors / Masters in Computer Science or related fields", "Preferred: Experience designing and generating synthetic datasets for large-scale load and edge-case testing", "Preferred: Hands-on experience implementing ML/AI-driven smart test-selection or \"smart execution\" strategies in CI/CD", "Preferred: Experience building and curating prompt libraries or GenAI usage guidelines for a QA or engineering organisation", "Preferred: Excellent written and verbal communication skills, with the ability to partner effectively across product and engineering teams", "Preferred: Self-motivated with a strong ownership mindset and a passion for continuously improving automation coverage and reliability", "Preferred: Strong problem-solving skills with a focus on reducing \"flaky tests\" through resilient coding and AI insights"]
Roles & responsibilities
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