QA Engineer (Consumer Products | AI-Assisted Testing) One North
Summary
QA engineer owning end-to-end quality for a Singapore social gaming company's consumer mobile products: defining test strategy, building API/UI/performance automation wired into CI/CD (Postman, JMeter, Appium), and pioneering AI/LLM-based testing such as AI-generated test cases, scripts, and defect analysis.
Salary: $8,000 – $11,000 per month
About the Company
Our client is a Singapore-based social gaming company building consumer-facing mobile products for a global user base. The team is product-driven and fast-moving, and is actively adopting AI to improve how it builds and ships.
Key Responsibilities
Own end-to-end quality assurance for consumer-facing products, including defining test strategies, plans and quality standards
Drive the build-out of API, UI automation and performance testing, and integrate it with CI/CD to improve testing efficiency and coverage
Integrate AI across the testing lifecycle (test case generation, script writing, defect analysis, code review), and explore LLM/Agent-based intelligent testing and drive adoption within the team
Requirements
Bachelor’s degree or above
Minimum 3 years of testing experience, including at least 1 year on consumer-facing projects
Able to independently own project testing, from test strategy and case design to risk analysis and quality assessment
Experience with process building and driving cross-team collaboration
Proficient with Postman, Apifox and JMeter, able to conduct API, performance and data consistency testing
Familiar with MySQL and Redis, and able to write SQL fluently
Proficient in at least one of Python, Go, JavaScript or Bash, with hands-on automation testing experience
Familiar with Linux, network protocols and CI/CD
Familiar with mobile testing methods and tools (Appium, packet capture, adb), and understands multi-device, weak-network and canary (gray-release) scenarios
Skilled in using AI tools to assist testing, with practical experience and the ability to explain the results achieved
Understands the principles and limits of LLMs and Agents, able to design prompts and workflows, and aware of the need to validate AI outputs
Strong communication, collaboration and problem-analysis skills
Nice to Have
Experience building test platforms, automation frameworks or quality metrics systems
Experience building AI testing or code review tools based on LLMs/Agents
Experience testing projects involving monetisation (in-app purchases, ads, payments), high concurrency or user growth
How To Apply
Interested candidates, please submit your updated resume in MS Word format to Jennifer Chai, email – jennifer.chai@achievegroup.asia
EA Personnel Reg. No. R26162523, Achieve Career Consultant Pte Ltd EA License No. 05C3451 or have a confidential chat with me at 8134 2834.
Due to the nature of this search, only shortlisted candidates will be contacted with further details about the organization.