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.
Skills Required
- Deep understanding of software QA methodologies, tools, and processes
- Ability to analyze client-side application and backend billing or licensing issues, collect logs, and reproduce defects
- Proficiency in Python or Shell Script
- Extensive experience with test automation frameworks
- Experience with at least one UI automation tool: Playwright, Appium, or Selenium
- Ability to design and execute end-to-end tests across UI and backend layers
- Hands-on experience integrating tests into CI/CD pipelines using GitHub Actions, Jenkins, or GitLab CI
- Familiarity with AWS, Azure, or GCP
- Familiarity with Docker and Kubernetes
- Strong communication skills in Chinese and English
- Practical experience using AI-assisted development tools such as Cursor, GitHub Copilot, or Claude Code
- Ability to provide effective context to AI development tools
- Ability to critically review AI-generated code and optimize token efficiency
- Ability to interpret Google Analytics and chatbot metrics
- Experience with mobile testing on iOS or Android
- Experience with performance testing tools such as JMeter or Locust
- Experience working in Agile or Scrum environments
- Positive mindset, high maturity, and strong collaboration skills
- Strong logical reasoning and problem-solving abilities
What We Do
We’re a global cybersecurity leader, helping to make the world safe for exchanging digital information. Fueled by decades of security expertise, global threat research, and continuous innovation, our cybersecurity platform protects hundreds of thousands of organizations and millions of individuals across clouds, networks, devices, and endpoints. As a leader in cloud and enterprise cybersecurity, our platform delivers a powerful range of advanced threat defense techniques optimized for environments like AWS, Microsoft, and Google, and central visibility for better, faster detection and response. Our global threat research team delivers unparalleled intelligence and insights that power our cybersecurity platform and help protect organizations around the world from 100s of millions of threats daily. We have 7,000 employees across 65 countries, singularly focused on security and passionate about making the world a safer and better place. We enable organizations to simplify and secure their connected world. Trend Micro’s “Trenders” are passionate about doing the right thing to make the world a safer and better place.
