The QA Engineer owns test planning, test case design, execution, and defect management to ensure delivered solutions meet functional, quality, and business requirements. This role covers both manual and automation testing, applying BDD and other testing methodologies as appropriate to the project. This role also uses AI tools as a core part of the QA workflow — generating test cases from requirements, building and debugging automation scripts, and producing test documentation faster and more consistently. Based in Singapore, the QA Engineer works closely with the Solution Architecture team and local development and project teams throughout the SDLC, and may be required to be based at the customer's office during working hours, with occasional after-office-hours work as needed.
Core Responsibilities
Test Planning & Strategy
- Develop test plans and test strategies aligned to project scope, requirements, and risk areas
- Define test coverage across functional, regression, integration, and user acceptance testing
- Identify test data, environment, and tooling needs ahead of each testing cycle
Test Case Design & Documentation
- Write clear, traceable test cases from requirements, user stories, and acceptance criteria
- Maintain a well-organized, version-controlled test case repository, mapped back to requirements
- Review requirements and designs early to identify testability gaps and ambiguities
Test Execution & Defect Management
- Execute manual test cases across functional, regression, and UAT cycles, applying BDD (Given-When-Then) and other testing methodologies as appropriate
- Log, prioritize, and track defects to closure, verifying fixes before sign-off
- Produce clear test result reports and documentation for project and client sign-off
Test Automation
- Build and maintain automation scripts (e.g., Selenium, Playwright, Cypress, Appium) for regression and repetitive test coverage
- Integrate automated tests into CI/CD pipelines in partnership with development and DevOps
- Maintain and refactor automation suites as the application evolves
AI-Assisted QA
- Use AI tools to generate draft test cases directly from requirements, user stories, or acceptance criteria, then review and refine for accuracy and coverage
- Use AI-assisted "vibe coding" tools (e.g., Claude Code, Cursor, Copilot) to build, debug, and maintain automation scripts faster
- Use AI to draft and standardize QA documentation — test plans, test summary reports, defect write-ups, and release notes — reviewing outputs for accuracy before sign-off
- Use AI to help identify test coverage gaps and suggest edge cases that manual review might miss
- Build working understanding of AI/LLM concepts (RAG, agentic workflows, MCP) sufficient to design and execute test cases for AI-enabled features, including evaluating AI output quality and consistency
API & Integration Testing
- Test APIs and system integrations using tools such as Postman, REST Assured, or SoapUI
- Validate data flows and integration behavior against technical specifications
Education & Experience
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
- 3–5+ years of experience as a QA Engineer, Test Engineer, or in a similar quality assurance role
- Demonstrated experience writing test plans, test cases, and defect reports
- Strong manual testing skills, including experience applying BDD and other test design methodologies
- Experience with at least one test automation framework , Playwright, Cypress, or Appium)
- Experience working within Agile/Scrum delivery teams
- Hands-on experience or strong aptitude using AI tools to assist with test case generation, automation scripting, or documentation is highly advantageous
Shortlisted candidate will reach out.