Job Summary

Quality Assurance Automation Engineer - Manufacturing Systems and Infrastructure. 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.
Responsibilities
- Leverage LLMs and AI coding assistants (e.g., GitHub Copilot, Cursor, ChatGPT) to rapidly generate, refactor, and document automated test scripts for web, mobile, and API interfaces.
- Design, build, and maintain scalable test automation frameworks, integrating AI-native testing tools (e.g., Applitools for visual AI, Testim/Mabl for self-healing locators).
- Utilise Generative AI to design and generate massive, diverse, and secure synthetic datasets for complex edge-case testing and load testing.




- Integrate automated suites into CI/CD pipelines (GitHub Actions, Jenkins) and implement smart execution strategies (using ML/AI to determine exactly which tests need to run based on the code commit).
- Utilise AI tools to rapidly parse server logs, stack traces, and crash reports to identify root causes of test failures, categorising bugs automatically.
- Partner with product and engineering teams to define test strategies, ensuring maximum test coverage while reducing maintenance overhead through intelligent automation.
- Champion the use of AI within the QA team, creating prompt libraries, guidelines, and best practices for using GenAI to write test cases and acceptance criteria.

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📌 Quality Assurance Automation Engineer (Bengaluru)
🏢 Apple
📍 Bengaluru