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QA Automation Engineer with 3+ years in Manual, Automation, and API Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Test Engineer with 3 years of experience in Manual Testing, Automation Testing using Selenium with Java and Playwright, and API Testing using Postman and REST Assured. Strong experience in STLC, Agile methodologies, test case design, automation frameworks, SQL validations, Linux commands, and defect management across finance and web applications.
Creaxt Pvt. Ltd.
Software Tester
January 1, 2024 – Present
India
EarnWealth Solutions Pvt. Ltd.
Software Tester
January 1, 2023 – December 31, 2023
India
CheckMate Web Service
January 1, 2024 – June 30, 2026
Executed functional and API testing for third-party integrations. Created test data, validated end-to-end scenarios, and supported defect triage and releases.
EarnWealth Banking Web Application
January 1, 2023 – December 31, 2023
Automated onboarding, KYC, and transaction modules using Selenium and TestNG. Performed API testing and SQL validation. Supported UAT and production releases.
ISTQB Foundation Level
Unknown
June 1, 2026 – Present
Performance Testing with JMeter
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience across two professional roles, both as a Software Tester, aligning well with the target QA Automation Engineer role. Their project experience in banking/finance and general web services shows diversity in application domains. The listed technical skills are broad and relevant to modern QA practices, including automation, API testing, and CI/CD basics. The certifications (ISTQB, JMeter) indicate a proactive approach to professional development. Overall, the candidate appears to be a good cultural fit for a team focused on robust, automated testing within an Agile environment.
Soft Skills & Operational Fit
The candidate demonstrates collaboration skills through participation in Agile sprint cycles and defect triage meetings. Their experience in supporting UAT and production releases indicates an understanding of the full software development lifecycle. The project descriptions are concise, suggesting a direct communication style. However, without specific assessment data on communication or psychometric traits, a deeper analysis of soft skills and operational fit is limited.