🧪 Test Frameworks
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📱 Mobile Testing
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🖥 Web Testing
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🌐 API Testing
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⚙️ Performance
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📈 Monitoring
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🛠 CI/CD
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🧠 Shift Testing
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🔍 BDD
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🏗️ Architecture
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☁ Cloud Testing
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📊 Allure Reports
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- 💼 Title: Senior Software QA Engineer (SET)
- 🚀 I specialize in building resilient and maintainable automated testing frameworks
- 🧪 Passionate about automating complex business logic and ensuring end-user confidence
- 🎯 Championing testability, observability, and quality integration across the SDLC
- Frameworks:
pytest,pytest-bdd,Maestro,Cypress - Automation Tools:
Appium,Selenium,Playwright - Languages:
Python,JavaScript,Shell scripting - API Testing:
requests,Postman,Swagger - Mobile Testing:
Appium, Android/iOS Emulator & Real Devices - Web Testing:
Playwright,Selenium WebDriver - Performance Testing:
k6
- CI Tools:
GitHub Actions - Cloud Testing:
BrowserStack - Version Control:
Git,GitHub Flow, release tagging, branching strategy
- Performance Testing:
k6 - Monitoring & Logs:
Allure,Grafana - Resilience Testing: Retry logic, flaky test detection, timeouts, stabilization techniques
- Test Pyramid: Unit, Integration, UI
- Design Patterns: Page Object Model (POM), DRY fixtures
- Documentation:
Allure,Markdown,Confluence,Notion
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Organization-wide P0–P4 scale for scheduling bug fixes. Sets response targets and fix windows for planning, incidents, and releases, with clear criteria and escalation paths to keep prioritization consistent and auditable.
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A concise standard for defect triage that pairs Severity (A/B/C)—the user/system impact—with Priority (P0–P4)—the fix urgency—so teams can triage consistently and make informed trade-offs.
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A comprehensive end-to-end testing framework for web applications, built with Pytest and Playwright/Selenium.
It follows BDD (Behavior-Driven Development) principles, integrates with Allure reporting, and supports execution in CI/CD pipelines (GitHub Actions). -
🖥️ Web E2E Automation with browser-use
AI-driven end-to-end testing powered by browser-use, enabling autonomous browser agents to execute natural-language test scenarios.
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🛩️ Web E2E Automation with stagehand
E2E automation powered by stagehand, using AI-driven agents capable of multi-step reasoning, resilient element targeting, and dynamic adaptation to UI changes — reducing flaky tests and maintenance costs.
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Built a performance testing suite using
k6to simulate real-world API traffic and evaluate system resilience.
Included scenarios for load, spike, and stress testing with parameterized test data and custom thresholds.
Test results can be integrated with Grafana for live monitoring and post-test analysis. -
Set up a customizable Grafana dashboard for visualizing test reports and system metrics.
Integrated with data sources likePrometheusandLokito monitor automation runs and application logs.
Demonstrates practical QA usage scenarios such as CI test tracking and error trend analysis.
- ✉️ Email:
[email protected] - 🔗 LinkedIn: linkedin.com/in/JulianWangHZ
- 📍 Based in Taiwan | Open to remote-friendly teams
