AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Automation Engineer with 4+ years in UI and API Testing
QA Automation Engineer with 4.2 years of experience in UI and API Testing, ensuring data accuracy and system efficiency. Expertise in Selenium for frontend automation, significantly improving UI test coverage. Proficient in Postman and Rest-Assured for API testing, ensuring seamless service integrations. Strong experience in database testing using MySQL to validate backend data in pipelines. Hands-on experience with CI/CD pipelines using Jenkins optimizing automated test execution in Agile environment. Designed, developed, and maintained UI Automation frameworks using Selenium WebDriver, enabling reliable cross-browser testing. Executed functional, regression, and integration testing of REST and SOAP APIs using Postman, ensuring secure and accurate workflows. Collaborated closely with developers, automation engineers, and QA leads to align testing scope and streamline QA processes. Optimized automated test execution by integrating frameworks with CI/CD pipelines using Jenkins, GitHub improving release efficiency and stability. Developed and executed comprehensive Test plans for Web Application and perform software Testing's like Functional, Smoke & Regression-Testing. Develop and execute Test cases, Test plans and Test Scripts based on Project requirements. Leveraged Generative AI and NLP-based automation to convert business requirements into test cases, reducing manual test design effort by 40%. Conducted database testing using MySQL, including data validation, transformations, duplicate detection, null checks, and source-to-target reconciliation. Actively contributed in Agile/Scrum environments, participating in requirement analysis, sprint planning, daily stand-ups, and defect triage. Recognized for preparing detailed quality reports (daily, weekly, and impact analysis) for senior management, supporting data-driven decision-making.
Cultural Fit Analysis
The candidate's experience across multiple projects, including e-commerce and tour management applications, demonstrates adaptability to different business domains. Their active participation in Agile/Scrum environments and collaboration with various teams (developers, QA leads) indicates a team-oriented mindset. The breadth of tools and technologies used (Selenium, Postman, MySQL, Jenkins, Jira, BDD, Pytest, Python, AI tools) suggests a willingness to learn and apply diverse skills, which aligns well with dynamic and evolving team cultures.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to QA, evidenced by their involvement in test plan development, defect management, and quality reporting. Their collaboration with developers and QA leads indicates good teamwork and communication skills within an operational context. The use of AI tools suggests an openness to adopting new technologies for efficiency.