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QA Engineer with 3+ years in test automation, e-commerce, IoT, and embedded systems.
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Assessing your cultural and operational fit
QA Engineer with 3+ years of experience in test automation and manual testing across e-commerce, IoT, and embedded systems domains. Skilled in Selenium WebDriver with Java, TestNG, Cucumber/BDD, and Page Object Model (POM), achieving 65% regression coverage improvement and 40% reduction in manual testing effort. Experienced in Maven, Git, Postman API testing, and JIRA defect tracking, with working knowledge of cross-browser testing across Chrome, Firefox, and Edge. Consistently delivered defect-free releases in Agile/Scrum environments with working knowledge of SDLC, STLC, RTM creation, smoke testing, regression testing, and end-to-end defect lifecycle management.
Hindustan Institute of Technology and Science
Bachelor of Technology · Aeronautical Engineering
August 1, 2015 – June 30, 2019
Scanfii Software Technologies Pvt Ltd
QA Automation Engineer
September 1, 2024 – Present
Bengaluru, Karnataka, India
Amazon
Quality Associate - Alexa Device Testing
June 1, 2024 – August 1, 2024
Bengaluru, Karnataka, India
Aarav Unmanned Systems Pvt Ltd
QA Manual Tester
March 1, 2023 – June 1, 2024
Bengaluru, Karnataka, India
Selenium with Java
Greens Technology
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across diverse domains (e-commerce, IoT, drone systems) indicates adaptability and a willingness to tackle varied technical challenges, which is a positive for cultural fit. Their involvement in Agile/Scrum teams and collaboration with developers and business analysts suggests a team-oriented approach. The breadth of skills listed, from automation tools to test management and methodologies, shows a comprehensive understanding of the QA role, aligning well with a dynamic work environment.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile/Scrum environments, collaboration with development teams, and end-to-end defect lifecycle management. Their project descriptions highlight a results-oriented approach, focusing on metrics like reduced defect leakage, improved test coverage, and faster turnaround times. The candidate's ability to work across different domains (e-commerce, IoT, embedded systems) suggests adaptability and a broad understanding of QA challenges.