Varshney Varun

Test Automation Engineer

Noida, Uttar Pradesh, India

Since April 30, 2026

About

Skills

JavaQA EngineersPostmanSelenium WebDriverAutomation TestingMobile TestingUsability TestingRest ApiAWSCiCdTestingQA methodologiesTest AutomationSeleniumJiraApi TestingAgile MethodologiesPerformance OptimizationAgileGithub ActionsAi OrchestrationRoot Cause AnalysisVisual StudioEclipse

Key Strengths

Extensive experience (11.5+ years) in Test Automation, QA Leadership, and AI-Enabled QA, aligning perfectly with the target role.
Deep expertise in designing and implementing end-to-end automation frameworks using industry-standard tools like Selenium WebDriver, REST Assured, Appium, and Playwright.
Proven proficiency in AI/Generative AI-driven testing practices, including LLM-assisted test generation, agentic QA workflows (Selenium-MCP), AI-powered code review, predictive defect detection, and prompt engineering.
Strong background in CI/CD integration (Jenkins, TeamCity, Azure DevOps) to enhance release efficiency and quality gates.
Solid experience in performance testing (JMeter) and cloud platforms (AWS, Azure), demonstrating a comprehensive understanding of quality assurance beyond functional testing.
Demonstrated leadership capabilities in managing QA teams, mentoring engineers, and facilitating cross-functional coordination.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's experience in leading teams, mentoring, and facilitating onsite-offshore coordination suggests a collaborative and team-oriented approach. Their engagement with Agile methodologies indicates comfort with iterative development and cross-functional teamwork. The early adoption of AI-driven testing practices demonstrates a proactive, innovative mindset, aligning with cultures that value continuous improvement and technological advancement. However, the psychometric test score of 0 raises significant concerns about foundational cultural fit aspects like logical reasoning, work attitude, stress handling, and team collaboration, which require further investigation.

Soft Skills & Operational Fit

The candidate's resume indicates strong leadership abilities through managing QA teams and onboarding new engineers. Experience with Agile/Scrum/Kanban methodologies suggests adaptability and a collaborative mindset. The proactive adoption of AI/Gen-AI technologies highlights an innovative and growth-oriented approach. Focus on reducing defect leakage, improving sprint velocity, and enhancing test coverage points to a results-driven and efficiency-focused operational fit.

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Assessing your cultural and operational fit

Key Strengths

Extensive experience (11.5+ years) in Test Automation, QA Leadership, and AI-Enabled QA, aligning perfectly with the target role.
Deep expertise in designing and implementing end-to-end automation frameworks using industry-standard tools like Selenium WebDriver, REST Assured, Appium, and Playwright.
Proven proficiency in AI/Generative AI-driven testing practices, including LLM-assisted test generation, agentic QA workflows (Selenium-MCP), AI-powered code review, predictive defect detection, and prompt engineering.
Strong background in CI/CD integration (Jenkins, TeamCity, Azure DevOps) to enhance release efficiency and quality gates.
Solid experience in performance testing (JMeter) and cloud platforms (AWS, Azure), demonstrating a comprehensive understanding of quality assurance beyond functional testing.
Demonstrated leadership capabilities in managing QA teams, mentoring engineers, and facilitating cross-functional coordination.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit