About this role
Responsibilities
• Oversee technical support quality for the consumer market across client-side and backend systems (Cloud backend, AI Agent Q&A workflows, and billing/payment gateways); perform QA debugging to rapidly pinpoint root causes, gather comprehensive logs, and reproduce issues. • Lead the implementation of E2E test automation by converting uncovered customer-reported issues into automated test cases and corresponding user documentation, systematically boosting product quality and reducing recurring support tickets. • Monitor post-launch consumer reviews and complaints; leverage AI/Chatbot and Google Analytics (GA) data to proactively improve self-service coverage, transforming complex technical processes into systematic SOPs and customer-facing guides. • Design semi-automated verification mechanisms and standardized validation SOPs for non-automatable manual billing, payment, and licensing workflows to mitigate operational risk. Qualifications
• Deep understanding of software QA methodologies, tools, and processes, with the ability to independently analyze client-side (App/UI) and backend (billing, licensing) issues, collect complete logs, and reproduce defects. • Proficiency in Python or Shell Script to independently author and maintain high-quality automation test scripts. • Extensive experience with test automation frameworks and at least one mainstream UI automation tool (Playwright, Appium, Selenium), capable of designing and executing full E2E tests spanning UI and backend layers. • Hands-on experience integrating tests into CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI). • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). • Strong communication skills in both Chinese and English. • AI-Assisted Development Skills: • Practical experience applying AI-native development tools (e.g., Cursor, GitHub Copilot, Claude Code) in production or personal projects. • Ability to provide effective context to AI (understanding that output quality heavily depends on input quality). • Habit of critically reviewing AI-generated code rather than accepting it blindly, alongside optimizing for token efficiency.
Nice to Have
• Ability to interpret GA and Chatbot metrics to proactively identify customer issue distributions and trends, translating insights into actionable workflow improvements. • Experience in mobile testing (iOS/Android). • Hands-on experience with performance testing tools (e.g., JMeter, Locust). • Experience working in Agile/Scrum development environments. • Positive mindset, high maturity, and strong collaborative skills. • Strong logical reasoning and problem-solving abilities.