Quality Assurance Engineer

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
• Around 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 Haves

• 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 – [Confidential Information]

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.