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QA Automation Engineer with 3+ years in Selenium, Python & API Testing
QA Automation Engineer with 3+ years of Experience in Manual and Automation Testing. Strong expertise in Selenium WebDriver, Python, BDD(Behave), API Testing (Postman), and CI/CD integration using Jenkins. Proven ability to design automation frameworks, convert manual test cases to automation, execute regression suites, and collaborate with cross functional teams in Agile environments to deliver high quality software. Good at understanding the client requirements and project functionalities. Knowledge on Software Development Life Cycle, Test Life Cycle and Defect Life Cycle. Experience in Smoke Testing, Functional Testing, Integration Testing, Regression Testing. Experience in writing XPath expressions to identify Web Elements. Performed API testing by validating request/response payloads and HTTP status codes. Executed regression automation suite for multiple releases. Performed AI/LLM testing including prompt testing, response validation, and evaluation of AI-generated outputs. Validated LLM-generated responses for accuracy, context relevance, and edge cases. Collaborated with developers to identify, track, and resolve defects using Azure DevOps.
S.J.C. Institute of Technology
Bachelor of Technology · Electronics and Communication Engineering
N/A – June 30, 2022
Accenture
Quality Assurance Engineer
December 1, 2022 – Present
India
Cultural Fit Analysis
The candidate's experience at Accenture, a large consulting firm, suggests an ability to adapt to diverse project environments and collaborate within cross-functional teams. Their engagement with both traditional web application testing and emerging AI chatbot testing indicates adaptability and a willingness to learn new technologies, which aligns well with dynamic team cultures. The breadth of tools and methodologies used (Selenium, Postman, MongoDB, Azure DevOps, Agile) points to a versatile individual.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to testing, evidenced by their use of POM and pytest. Their experience in Agile environments and defect management tools suggests good operational fit. The mention of 'currently learning AI/LLM testing concepts' indicates a proactive attitude towards skill development.