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QA Automation Engineer with 4+ years in manual and automation testing.
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Assessing your cultural and operational fit
Results-driven Software QA Engineer with over 3+ years of experience in manual and automation testing of web and mobile applications across Agile environments. Proficient in developing comprehensive test plans, writing and executing detailed test cases, performing regression, functional, and integration testing, and ensuring high-quality software through structured QA processes. Skilled in Selenium with Python, API testing, and performance testing using JMeter. Experienced with bug tracking tools. Familiar with CI/CD pipelines and testing in Agile/Scrum teams. Proven track record of reducing defect rates and improving release stability through meticulous testing and cross-team collaboration.
APJ Abdul Kalam Technological University
Bachelor of Technology · Computer Science
N/A – June 30, 2021
Feathersoft Info Solutions Pvt Ltd
Software QA Engineer - L2
December 1, 2021 – Present
India
Syngenta EZ Capture
December 1, 2021 – June 30, 2026
A web, iOS, and Android mobile application used for capturing data in the field in an easy, quick, consistent, and validated way.
Cultural Fit Analysis
The candidate's experience with cross-functional teams (developers, business users) and Agile methodologies indicates a collaborative mindset. Their focus on ensuring high-quality software and reducing defect rates aligns with a culture that values quality and efficiency. The project diversity is limited to one major professional project, but the breadth of skills (manual, automation, performance, API, database testing) suggests adaptability to various technical challenges within a QA role.
Soft Skills & Operational Fit
The candidate demonstrates practical experience in collaborating with developers and business users for defect communication and replication. Their work in Agile/Scrum environments suggests an ability to adapt to iterative development cycles and meet project timelines. The resume highlights a results-driven approach to reducing defect rates and improving release stability through meticulous testing and cross-team collaboration.