- Hong Kong Hong Kong
Capgemini Hong Kong Limited Hiring! Full Time Automation Test Engineer in Hong Kong - Ricebowl
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Job Description
Responsibilities
Responsibilities
1. Testing Support & Quality Assurance
Support end‑to‑end system testing, integration testing, regression testing, and UAT support
Review functional and technical specifications to derive effective test scenarios
Prepare and maintain test cases, test data, and execution results
Log, track, verify, and retest defects using defect management tools
Ensure testing compliance with SDLC, QA standards, and governance requirements
2. Test Automation Development
Design, develop, enhance, and maintain test automation frameworks for UI, API, and backend testing
Develop reusable automated test scripts aligned with project standards
Integrate automation scripts into CI/CD pipelines where applicable
Analyze automation results and report quality metrics
Continuously improve automation coverage, stability, and efficiency
3. Performance Testing
Participate in performance test planning including workload modeling and test strategy definition
Design and develop performance test scripts (e.g. load, stress, volume, endurance tests)
Execute performance tests and monitor system behavior
Analyze test results to identify performance bottlenecks and risks
Work with development, infrastructure, and architecture teams to resolve performance issues
Prepare performance test reports with conclusions and recommendations
4. Test Environment & Data Management
Support test environment setup, configuration, and troubleshooting
Coordinate with infrastructure and DevOps teams on performance test environments
Prepare and manage test data for automation and performance testing
5. AI Testing Strategy & Execution
Establish comprehensive AI testing frameworks, including:
Data quality and data drift testing
Model performance and stress testing
Bias, fairness, and explainability testing
Integration, system, regression, and user acceptance testing for AI‑enabled systems
Oversee or perform test planning, test case design, test execution, defect management, and test reporting for AI and GenAI solutions.
6. Vendor & Cross‑Functional Collaboration
Assess vendor‑provided AI solutions, models, and tools through structured testing, validation, and proof‑of‑concept activities.
Act as a bridge between QA, IT, data, risk, and business teams to ensure AI solutions are production‑ready and meet enterprise quality standards.
7. Continuous Improvement & Collaboration
Contribute to testing best practices, standards, and frameworks
Support QA transformation initiatives (e.g. shift‑left testing, automation‑first approach)
Mentor junior QA members when required
Participate in project meetings, walkthroughs, and quality reviews
Qualification
Technical Skills
Solid knowledge of software testing methodologies and SDLC
Hands‑on experience in test automation development
UI automation (e.g. Selenium, Playwright, Cypress, etc.)
API automation (e.g. REST‑based testing)
Hands‑on experience with performance testing tools
(e.g. JMeter, LoadRunner, Gatling, or equivalent)
Programming / scripting experience
(e.g. Java, Python, JavaScript, or similar)
Experience with defect tracking and test management tools
Understanding of CI/CD concepts and DevOps practices is an advantage
Good understanding of web‑based, distributed, or microservices architecture
Soft Skills
Strong analytical and problem‑solving skills
Good communication and documentation skills
Ability to work independently and as part of a team
Proactive, detail‑oriented, and quality‑driven mindset
Experience & Education
Bachelor’s degree in computer science, Information Technology, or related discipline
5-10 years of experience in software testing, QA engineering, or automation/performance testing roles
Experience in enterprise or large‑scale systems is preferred
Nice to Have
Experience in Agile / DevOps delivery environments
Exposure to cloud platforms and container‑based systems
Industry certifications related to testing or quality assurance
Knowledge of monitoring tools and non‑functional testing beyond performance (e.g. reliability, capacity)
Full-time
1. Testing Support & Quality Assurance
Support end‑to‑end system testing, integration testing, regression testing, and UAT support
Review functional and technical specifications to derive effective test scenarios
Prepare and maintain test cases, test data, and execution results
Log, track, verify, and retest defects using defect management tools
Ensure testing compliance with SDLC, QA standards, and governance requirements
2. Test Automation Development
Design, develop, enhance, and maintain test automation frameworks for UI, API, and backend testing
Develop reusable automated test scripts aligned with project standards
Integrate automation scripts into CI/CD pipelines where applicable
Analyze automation results and report quality metrics
Continuously improve automation coverage, stability, and efficiency
3. Performance Testing
Participate in performance test planning including workload modeling and test strategy definition
Design and develop performance test scripts (e.g. load, stress, volume, endurance tests)
Execute performance tests and monitor system behavior
Analyze test results to identify performance bottlenecks and risks
Work with development, infrastructure, and architecture teams to resolve performance issues
Prepare performance test reports with conclusions and recommendations
4. Test Environment & Data Management
Support test environment setup, configuration, and troubleshooting
Coordinate with infrastructure and DevOps teams on performance test environments
Prepare and manage test data for automation and performance testing
5. AI Testing Strategy & Execution
Establish comprehensive AI testing frameworks, including:
Data quality and data drift testing
Model performance and stress testing
Bias, fairness, and explainability testing
Integration, system, regression, and user acceptance testing for AI‑enabled systems
Oversee or perform test planning, test case design, test execution, defect management, and test reporting for AI and GenAI solutions.
6. Vendor & Cross‑Functional Collaboration
Assess vendor‑provided AI solutions, models, and tools through structured testing, validation, and proof‑of‑concept activities.
Act as a bridge between QA, IT, data, risk, and business teams to ensure AI solutions are production‑ready and meet enterprise quality standards.
7. Continuous Improvement & Collaboration
Contribute to testing best practices, standards, and frameworks
Support QA transformation initiatives (e.g. shift‑left testing, automation‑first approach)
Mentor junior QA members when required
Participate in project meetings, walkthroughs, and quality reviews
Qualification
Technical Skills
Solid knowledge of software testing methodologies and SDLC
Hands‑on experience in test automation development
UI automation (e.g. Selenium, Playwright, Cypress, etc.)
API automation (e.g. REST‑based testing)
Hands‑on experience with performance testing tools
(e.g. JMeter, LoadRunner, Gatling, or equivalent)
Programming / scripting experience
(e.g. Java, Python, JavaScript, or similar)
Experience with defect tracking and test management tools
Understanding of CI/CD concepts and DevOps practices is an advantage
Good understanding of web‑based, distributed, or microservices architecture
Soft Skills
Strong analytical and problem‑solving skills
Good communication and documentation skills
Ability to work independently and as part of a team
Proactive, detail‑oriented, and quality‑driven mindset
Experience & Education
Bachelor’s degree in computer science, Information Technology, or related discipline
5-10 years of experience in software testing, QA engineering, or automation/performance testing roles
Experience in enterprise or large‑scale systems is preferred
Nice to Have
Experience in Agile / DevOps delivery environments
Exposure to cloud platforms and container‑based systems
Industry certifications related to testing or quality assurance
Knowledge of monitoring tools and non‑functional testing beyond performance (e.g. reliability, capacity)
Full-time
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