Senior QA Automation Engineer

Winson Group Macau 永燊集團; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Job summary

Winson Group Macau 永燊集團 is seeking an experienced QA Automation Engineer to lead AI-assisted testing initiatives across IT projects. The role collaborates with developers, analysts, and stakeholders to ensure robust automation coverage.

You will design scalable automation frameworks, apply Generative AI concepts, review requirements, and maintain quality engineering standards while ensuring compliance with internal and regulatory guidelines.

Qualifications

• Eight years of experience in software testing, test automation, or quality engineering.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related discipline.
• Proven expertise in enterprise-scale automation frameworks and automated testing using Playwright, Selenium, Appium, Cypress or equivalents.
• Strong programming/scripting in Java, JavaScript/TypeScript, Python, VBScript or similar languages; experience with AI-assisted tools for testing productivity.

Responsibilities

• Participate in multiple SDLC phases and coordinate with stakeholders to discuss testing activities.
• Review requirements, user stories, and designs to identify quality risks and AI-assisted testing solutions.
• Design, build, and maintain scalable automation frameworks and reusable components.
• Apply AI technologies across testing lifecycle including test design, generation, data prep, automation, and reporting.
• Create reusable AI-assisted testing methods, prompt libraries, and accelerators.

Skills

Automation

Quality Engineering

Java

JavaScript/TypeScript

Python

VBScript

AI-assisted testing

CI/CD

Scripting

Education

Bachelor's degree in CS/SE/IT

Tools

Playwright

Selenium

Appium

Cypress

GitHub Copilot

Microsoft Copilot

ChatGPT

Claude

Gemini

Job description

Responsibility

• Participate in different phases of the Software Development Life Cycle (SDLC) for IT projects and collaborate with various IT stakeholders, including third-party vendors, development teams, business analysts, project managers, and project stakeholders, to discuss testing activities.
• Review business requirements, user stories, and technical designs to identify quality risks and determine effective automation and AI-assisted testing solutions.
• Design, build, and maintain scalable automation frameworks, reusable components, and quality engineering standards.
• Utilize AI technologies across the testing lifecycle, including test design, test generation, test data preparation, automation development, defect analysis, reporting, and documentation.
• Create reusable AI-assisted testing methods, prompt libraries, and automation accelerators to enhance testing efficiency and productivity.
• Assess, review, and verify AI-generated outputs to ensure quality, accuracy, security, compliance, and business relevance.
• Research, assess, and adopt emerging AI-enabled testing capabilities and automation technologies to enhance quality engineering effectiveness.
• Perform and support automated and AI-assisted testing activities to verify application functionality, reliability, performance, and business processes.
• Diagnose and resolve issues involving automation frameworks, test environments, CI/CD pipelines, and AI-assisted testing workflows.
• Identify, analyze, document, and monitor defects, perform root cause analysis, and support continuous quality improvement initiatives.
• Coach Automation Engineers and promote automation best practices, AI adoption, and quality engineering excellence.
• Develop and maintain automation documentation, framework standards, AI usage guidelines, and testing artefacts in line with organizational requirements.
• Comply with 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.
• Carry out any other ancillary tasks or duties assigned by the team lead.

Requirement

• At least eight years of experience in software testing, test automation, or quality engineering is required.
• A Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline is required.
• Proven expertise is required in 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 are required, along with practical experience using AI-assisted tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, Claude, Gemini, or equivalent technologies to improve software testing and automation productivity.
• A 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 is required in applying AI-assisted tools throughout software testing activities.
• A strong QA mindset is required, with the ability to critically evaluate AI-generated outputs and ensure quality, accuracy, completeness, and compliance with business requirements.
• An understanding is required of AI governance, responsible AI usage, data security, privacy, and enterprise compliance requirements.
• Candidates must communicate excellently in both Chinese and English, possess interpersonal and stakeholder management skills, and be able to work independently and collaborate effectively across cross-functional technical and business teams.