QA Automation Engineer with 8+ years in Manual, Automation, and API testing
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Engineer with 8.5 years of experience in Manual, Automation and API testing across enterprise applications. Experienced in designing automation frameworks using Selenium-Python, implementing CI/CD testing pipelines and leading QA teams. Proven track record in improving test efficiency, reducing regression cycles and ensuring high-quality releases in Agile environments.
Bebo Technologies Pvt Ltd.
Senior Software Engineer (Quality Engineer)
March 1, 2022 – Present
India
Agriculture & Farmers Welfare Department Haryana
Office Executive
August 1, 2019 – March 1, 2022
India
NIIT Foundations – LVCCT
Computer Trainer
December 1, 2015 – August 1, 2019
India
Samsung Electronic Pvt. Ltd.
Associate Engineer
September 1, 2010 – March 1, 2015
India
Access Management System
January 1, 2023 – Present
Designed and executed test cases for role-based access control scenarios. Validated user permission, disclosures, project-level access management flows. Performed API Testing using Postman for user creation, role assignment & profile sync.
Overlay Management System
January 1, 2022 – Present
Designed and maintained Selenium-Python automation framework. Validated automated overlay deployment across multiple environments. Automated 500+ regression test cases. Integrated tests with Jenkins CI pipelines. Reduced release validation time by 50%. Performed API validation using Postman. Collaborated with client stakeholders in review & release planning to ensure product quality & timely delivery.
Factory Line Inventory Management System
January 1, 2022 – December 31, 2023
Automated and maintained web application test cases using Selenium with Python. Executed Functional, Smoke & Regression Testing for inventory workflow. Integrated automated tests with CI/CD pipeline using Jenkins to support release validation. Initiated & Performed API validation using Postman.
Cultural Fit Analysis
The candidate's project diversity, including access management, overlay management, and inventory systems, shows adaptability. Their experience in leading teams and mentoring aligns well with a collaborative culture. The breadth of skills, from automation to API testing and CI/CD, indicates a well-rounded professional capable of contributing to various aspects of a QA team.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and collaboration skills, having led a QA team of 5 engineers and mentored junior testers. Their experience in client stakeholder collaboration for review and release planning indicates good operational fit for Agile environments. The use of AI-driven solutions suggests a proactive and innovative mindset.