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QA Engineer with 4+ years in automation and manual testing using Selenium, Java, and Postman.
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Assessing your cultural and operational fit
QA Engineer with 4 years of experience in software testing, including 2.6 years in automation testing using Selenium WebDriver, Java, and TestNG, and 1.6 years in manual and API testing using Postman. Experienced in web and mobile application testing, with hands-on expertise in developing automation frameworks, executing test scripts, and ensuring high-quality deliverables in Agile environments.
Chandigarh University
MCA
August 1, 2020 – June 30, 2022
Chandigarh University
BCA
August 1, 2017 – June 30, 2020
Qualhon Informatics Pvt. Ltd.
QA Engineer (Manual + Automation)
May 1, 2023 – Present
Mohali, Punjab, India
Edios Software Solutions
Software Test Engineer (Manual Testing)
January 1, 2022 – April 1, 2023
Mohali, Punjab, India
Java certifications
Unknown
June 1, 2026 – Present
Selenium & TestNG
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse domains, indicating adaptability and a willingness to engage with various business contexts. Their experience spans both manual and automation testing, showing a comprehensive approach to quality assurance. The mention of working in Agile/Scrum environments suggests a collaborative mindset. The certifications in Java, Selenium, and TestNG, although future-dated, show a commitment to continuous learning and skill development. The breadth of tools and technologies used aligns well with a dynamic and evolving technical environment.
Soft Skills & Operational Fit
The candidate's resume indicates experience in an Agile/Scrum environment, defect management, and coordination with development teams, suggesting good operational fit. The descriptions of handling client-reported issues and support activities also point to strong problem-solving and communication skills, which are crucial for a senior QA role. The ability to work across multiple domains (Healthcare, E-commerce, Legal, Transport & Delivery, Activity Management, AI-based Sports Analytics) suggests adaptability and a broad understanding of different business contexts.