12 часов назад
Senior SDET Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior SDET Engineer (AI): Overseeing technical support quality and building end-to-end test automation across client-side applications, cloud backends, AI Agent Q&A workflows, billing, and payment gateways with an accent on root-cause debugging, reproducible defect analysis, and AI-assisted development. Focus on converting customer-reported issues into automated tests, integrating validation into CI/CD pipelines, and designing semi-automated controls for manual billing, payment, and licensing workflows.
Location: Taipei, Taiwan
Company
develops cybersecurity software and consumer-facing cloud products.
What you will do
- Oversee technical support quality across client-side applications and backend systems, including cloud services, AI Agent Q&A workflows, billing, and payment gateways.
- Debug QA issues by identifying root causes, collecting complete logs, and reproducing defects.
- Lead end-to-end test automation by converting customer-reported issues into automated test cases and user documentation.
- Analyze consumer reviews, complaints, AI/chatbot data, and Google Analytics metrics to improve self-service coverage.
- Create SOPs, customer-facing guides, and semi-automated verification mechanisms for manual billing, payment, and licensing workflows.
Requirements
- Deep knowledge of software QA methodologies, tools, and processes.
- Ability to analyze App/UI and backend issues, collect logs, and reproduce defects independently.
- Proficiency in Python or Shell Script and experience creating and maintaining automation test scripts.
- Experience with test automation frameworks and at least one UI automation tool: Playwright, Appium, or Selenium.
- Experience designing end-to-end tests across UI and backend layers and integrating them into CI/CD pipelines using GitHub Actions, Jenkins, or GitLab CI.
- Familiarity with AWS, Azure, or GCP, as well as Docker and Kubernetes; strong communication skills in Chinese and English are required.
Nice to have
- Experience applying AI-native development tools such as Cursor, GitHub Copilot, or Claude Code, with critical review of generated code and attention to token efficiency.
- Ability to interpret Google Analytics and chatbot metrics to identify customer issue trends and improve workflows.
- Experience with iOS/Android testing, performance testing tools such as JMeter or Locust, and Agile/Scrum development.
- Strong logical reasoning, problem-solving, collaboration, and professional maturity.
Culture & Benefits
- Full-time employment.
- Work includes collaboration across support quality, development, automation, and customer-facing documentation.
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