Job Duties:
• Participate in various phases of Software Development Life Cycle (SDLC) for IT Projects and interface with various IT stakeholders such as 3rd party vendor suppliers, development team, business analysts, project managers and project stakeholders to discuss testing activities.
• Review business requirements, user stories, and technical designs to identify quality risks and define effective automation and AI-assisted testing solutions.
• Design, develop, and maintain scalable automation frameworks, reusable components, and quality engineering standards.
• Apply AI technologies throughout the testing lifecycle, including test design, test generation, test data preparation, automation development, defect analysis, reporting, and documentation.
• Develop reusable AI-assisted testing approaches, prompt libraries, and automation accelerators to improve testing efficiency and productivity.
• Evaluate, review, and validate AI-generated outputs to ensure quality, accuracy, security, compliance, and business relevance.
• Research, evaluate, and implement emerging AI-enabled testing capabilities and automation technologies to improve quality engineering effectiveness.
• Execute and support automated and AI-assisted testing activities to validate application functionality, reliability, performance, and business processes.
• Troubleshoot and resolve issues related to automation frameworks, test environments, CI/CD pipelines, and AI-assisted testing workflows.
• Identify, analyze, document, and track defects, conducting root cause analysis and supporting continuous quality improvement initiatives.
• Mentor Automation Engineers and promote automation best practices, AI adoption, and quality engineering excellence.
• Create and maintain automation documentation, framework standards, AI usage guidelines, and testing artefacts in accordance with organizational requirements.
• Adhere to IT Quality Control, SDLC, Project Governance, and internal and regulatory requirements, including Sarbanes Oxley (SOX) and Macau Gambling Regulatory Authority (DICJ) guidelines, policies, and procedures.
• Perform any other ancillary tasks or duties as assigned by the team lead.

Requirements:
• Minimum 8 years' experience in software testing, test automation, or quality engineering.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
• Strong experience designing, developing, and maintaining enterprise-scale automation frameworks and automated testing solutions using tools such as Playwright, Selenium, Appium, Cypress, or equivalent technologies.
• Strong programming and scripting skills in Java, JavaScript/TypeScript, Python, VBScript, or similar technologies, with practical experience leveraging AI-assisted tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, Claude, Gemini, or equivalent technologies to improve software testing and automation productivity.
• Strong understanding of Generative AI concepts, Large Language Models (LLMs), Prompt Engineering, RAG, MCP, AI Agents, Agentic workflow, and AI-assisted software development practices is preferred.
• Practical experience applying AI-assisted tools throughout software testing activities.
• Strong QA mindset with the ability to critically evaluate AI-generated outputs and ensure quality, accuracy, completeness, and compliance with business requirements.
• Understanding of AI governance, responsible AI usage, data security, privacy, and enterprise compliance requirements.
• Excellent communication in both Chinese and English, interpersonal, and stakeholder management skills, with the ability to work independently and collaborate effectively across cross-functional technical and business teams.

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