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QA Automation Engineer with 5+ years in Selenium WebDriver & Java
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Quality Assurance Engineer with 5.4 years of experience in manual and automation testing, specializing in Selenium WebDriver with Java. Proficient in designing and executing comprehensive test plans, automation frameworks, defect management and strategies for both UI and API testing. Strong expertise in functional, regression, integration, and system testing with hands-on experience in Agile and Waterfall methodologies. Skilled in defect tracking and collaborating with cross-functional teams ensure to deliver high-quality software products.
Unknown
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2016 – June 30, 2020
Nucleus Teq
Software Engineer
March 1, 2026 – Present
Bengaluru, Karnataka, India
SRS Business Solutions - Payroll (Associated via Nucleus Teq)
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Tata Consultancy Services
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Cognizant Technology Solutions
Programmer Analyst
November 1, 2020 – December 1, 2022
Chennai, Tamil Nadu, India
Cultural Fit Analysis
The candidate has worked in multiple companies (Cognizant, TCS, Nucleus Teq) and on diverse testing aspects (UI, API, performance, manual, automation), indicating adaptability and a broad skill set. The consistent focus on QA automation aligns well with the target role. The experience across different project methodologies (Agile, Waterfall) suggests flexibility in team environments. The candidate's profile indicates a commitment to quality assurance, which is a strong cultural fit for a QA Automation Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to testing, including test planning, execution, and defect management. Their experience with Agile and Waterfall methodologies suggests adaptability to different project environments. Collaboration with development and product teams for requirements clarification and defect resolution indicates good teamwork and communication skills. The use of AI-assisted tools like GitHub Copilot shows an openness to leveraging modern technologies for efficiency.