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QA Automation Engineer with 8+ years in Selenium, Pytest & Embedded Systems
QA Python Automation Tester with 8+ years of overall professional experience, including 4 years in software testing—2 years in manual testing and 2 years in automation testing—across web, e-commerce, and embedded system applications using Selenium WebDriver, Python, and PyTest. Proven expertise in converting manual test cases into scalable automation suites, improving regression efficiency and reducing repetitive manual testing effort. Strong experience in designing and maintaining Page Object Model (POM)-based automation frameworks with a focus on reliability, reusability, and ease of maintenance. Hands-on experience executing automated tests through Jenkins CI/CD pipelines and managing defects using JIRA in agile environments. Solid background in functional, regression, smoke, sanity, and re-testing, with additional exposure to HITL-based embedded system validation.
Intell Engineering College, JNTU Anantapur
B.Tech · ECE
N/A – June 30, 2015
Tata Consultancy Services
QA Python Automation Engineer| Selenium| Pytest|E-commerce Domain
November 1, 2023 – Present
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Cultural Fit Analysis
The candidate's career progression from data analysis to manual testing and then to QA automation demonstrates a proactive learning attitude and adaptability. Their experience across different domains (e-commerce, embedded systems) and roles (data analyst, manual tester, automation engineer) suggests a broad perspective and willingness to take on diverse challenges. The long tenure at Tata Consultancy Services indicates stability and commitment. However, the initial HR Recruiter role and extensive data analyst experience, while showing versatility, are not directly aligned with a senior QA Automation role, which might require a stronger, more focused QA background for cultural fit in a specialized team.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to testing and automation, indicating good operational fit. Their experience in collaborating with developers/design engineers suggests teamwork and communication skills. The transition from data analysis to QA automation shows adaptability and a drive for technical growth.