onsite
AI-Native Automation QA Engineer - XYZ Reality
QA Engineer
Design and implement AI‑driven automated test frameworks for an engineering‑grade AR platform, integrating machine‑learning models, CI/CD pipelines, and containerised environments to ensure high‑quality releases.
About the role
Key Responsibilities
- Develop and maintain AI‑enhanced test automation frameworks using Python, Selenium and Appium for both web and AR headset applications.
- Integrate machine‑learning models to enable self‑healing tests, predictive defect detection, and intelligent test data generation.
- Design CI/CD pipelines (GitLab/Jenkins) that automatically execute, report, and roll back test suites within Docker‑based environments.
- Collaborate with developers, product owners, and AR hardware engineers to define test strategies, acceptance criteria, and performance benchmarks.
- Analyse test results, troubleshoot flaky tests, and continuously improve test coverage and reliability.
Requirements
- 3+ years of professional experience in test automation, preferably in AR/VR or hardware‑software integrated products.
- Strong proficiency in Python and test libraries such as Selenium, Appium, or Playwright.
- Hands‑on experience applying machine‑learning techniques to testing (e.g., anomaly detection, model‑based test generation).
- Solid understanding of CI/CD concepts and containerisation tools like Docker (Kubernetes a plus).
- Excellent problem‑solving skills, attention to detail, and ability to work in a fast‑paced, hybrid team environment.
Skills
pythonseleniummachine learningcicddocker