Company Description WEJOY PTE. LTD. is an internet company based in Singapore, founded in October 2020, with a global vision and an innovative approach to social and gaming experiences. The company focuses on developing and operating social board games and casual games that connect users around the world. Its flagship product, WePlay, is a popular online social gaming platform with diverse features that make it easy for users to meet new friends while playing. Since its 2021 launch, WePlay has exceeded 800 million downloads and reaches about 1 million monthly active users, particularly in the Middle East and APAC regions, where it often ranks at the top of App Store free charts. WEJOY continues to expand into international markets and aims to strengthen its impact on the global gaming stage.
Job Responsibilities
- Own end-to-end quality assurance for consumer-facing (C-end) products, including defining test strategies, test plans, and quality standards.
- Drive API, UI automation, and performance testing initiatives, integrating CI/CD to improve efficiency and coverage.
- Embed AI into the full testing lifecycle — test case generation, script writing, defect analysis, and code review — and explore LLM/Agent-based intelligent testing, promoting its adoption across the team.
Job Requirements
- Around 3 years of testing experience, including at least 1 year on consumer-facing projects; able to independently own project testing, covering test strategy, test case design, risk analysis, and quality assessment, with experience in process building and cross-team collaboration.
- Proficiency with Postman, Apifox, and JMeter, with solid capabilities in API, performance, and data-consistency testing; familiar with MySQL and Redis, and able to write SQL proficiently.
- Familiarity with at least one of Python, Go, JavaScript, or Bash, with hands-on experience in automated testing; familiar with Linux, network protocols, and CI/CD.
- Familiarity with mobile testing methods and tools (Appium, packet capture, adb), and an understanding of multi-device, weak-network, and online canary-release (gray release) scenarios.
- Skilled in using AI tools to assist testing, with practical experience and the ability to demonstrate measurable efficiency gains.
- Understanding of the principles and limitations of LLMs and Agents, with the ability to design prompts and workflows, and a strong sense of validating AI outputs.
- Strong communication, collaboration, and problem-analysis skills.
Good to Have
- Experience in building test platforms, automation frameworks, or quality-metric systems.
- Experience in building AI testing or code-review tools based on LLMs/Agents.
- Experience in testing monetisation features (in-app purchases, ads, payments) or high-concurrency / user-growth projects.