- Location
- Taipei, Taiwan
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Workday
Description
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
PythonAWSAzureGCPDockerKubernetesJenkinsCI/CDGitHubGitLabGoogle AnalyticsiOSAndroidAgileScrum
