Mentoring for QA Auto


with Alex Pshe
"For six years, I've been building QA Automation from the ground up in various companies – from Deutsche Bank, where I worked as an SDET, creating testing applications for financial systems using Spring Boot; to QA Lead at Semrush, where I built QA Automation for web applications with a modern CI pipeline on commits and Quality Gates; and then as QA Lead at JetBrains, where I established testing from scratch for JetBrains Qodana (working with Docker, CLI tools, plugins, cloud) and later for JetBrains Aqua (desktop applications on different OS).

I love sharing knowledge actively speaking at conferences and mentoring QA professionals. I am a Women TechMaker Ambassador and have mentored Women in Tech four times."
  • Hard skills section:
    • Test framework architecture
    • Abstraction and patterns in autotests
    • Strategies for web, desktop, and mobile testing
    • Best practices for achieving stable and fast regression
  • CI for QA section:
    • Philosophy of CI as Quality Control System
    • The algorithm of CI pipeline development with Quality Gates
    • The overview of QA Auto metrics and automatic measurements
    • Achieving a quality control system through automatic feedback and monitoring
  • Interview section:
    • Typical mistakes during QA Auto interview
    • The practical preparation for live coding tasks
    • Open-ended questions about QA Auto Strategy
    • The experience authorization based on the STAR method
  • Career section:
    • The overview of QA career strategies including the AI and personal brand trend
    • Deep dive into AI from a testing perspective and from a user perspective to stay up to market
    • Strategies to build professional brand and awareness to build a solid reputation
    • Mentoring, consulting, blogging, and pet projects to generate additional income
  • Suggest the section you need
  • QA auto skills section:
    • The algorithm of the test plan to cover QA Auto
    • Practical decomposition of autotest to test levels
    • The QA Auto best practices of web, desktop, and mobile
    • ROI, TTI, and other metrics to predict QA Auto profit
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