Quality Assurance Automation Engineer

In this role as a QA Automation Engineer for AI Platforms, your main responsibility will be to conduct automation testing for modern web applications and backend APIs using Selenium-based automation. You will be involved in various tasks such as regression suite development, API testing, workflow validation, and ensuring the quality and stability of AI-powered enterprise platforms. Collaboration with backend, frontend, and AI engineering teams is essential to design scalable automation frameworks, enhance testing processes, and improve product quality continuously. Key Responsibilities: - Design, develop, and maintain Selenium-based automation test suites - Build automated regression and smoke testing pipelines - Create reusable testing frameworks, utilities, and automation components - Automate validation of frontend and backend workflows - Develop and maintain API automation test cases - Execute end-to-end testing for AI workflows and enterprise applications - Validate integrations across UI, APIs, databases, and AI services - Collaborate with engineering teams to reproduce, isolate, and resolve defects - Support release validation and production sanity testing - Continuously improve test coverage, testing efficiency, and release quality - Integrate automated test execution into development pipelines - Maintain structured bug reports and testing documentation Qualifications Required: - Strong expertise in Selenium WebDriver - Proficiency in Python (mandatory) - Knowledge of Automation Testing, API Testing, Test Case Design, Regression Testing, Smoke Testing, Functional Testing, REST APIs, Postman, Git/GitHub, and basic SQL - Strong debugging and problem-solving skills - Solid understanding of the Software Testing Life Cycle (STLC) Preferred Skills: - Playwright, PyTest/Robot Framework/TestNG, Jenkins/GitHub Actions, Docker fundamentals - Performance and load testing concepts, Experience testing AI-powered applications - Workflow-based application testing, FastAPI backend testing, BrowserStack/Selenium Grid - Agile/Scrum methodologies This role is suited for someone with a strong analytical and troubleshooting mindset, a passion for automation and reducing manual testing efforts, the ability to independently design and maintain automation frameworks, and comfortable working in fast-paced engineering environments. Strong communication and collaboration skills, an ownership-driven approach with attention to quality, and a practical understanding of edge cases, failures, and system reliability are essential. (Note: Additional details of the company were not provided in the job description.) In this role as a QA Automation Engineer for AI Platforms, your main responsibility will be to conduct automation testing for modern web applications and backend APIs using Selenium-based automation. You will be involved in various tasks such as regression suite development, API testing, workflow validation, and ensuring the quality and stability of AI-powered enterprise platforms. Collaboration with backend, frontend, and AI engineering teams is essential to design scalable automation frameworks, enhance testing processes, and improve product quality continuously. Key Responsibilities: - Design, develop, and maintain Selenium-based automation test suites - Build automated regression and smoke testing pipelines - Create reusable testing frameworks, utilities, and automation components - Automate validation of frontend and backend workflows - Develop and maintain API automation test cases - Execute end-to-end testing for AI workflows and enterprise applications - Validate integrations across UI, APIs, databases, and AI services - Collaborate with engineering teams to reproduce, isolate, and resolve defects - Support release validation and production sanity testing - Continuously improve test coverage, testing efficiency, and release quality - Integrate automated test execution into development pipelines - Maintain structured bug reports and testing documentation Qualifications Required: - Strong expertise in Selenium WebDriver - Proficiency in Python (mandatory) - Knowledge of Automation Testing, API Testing, Test Case Design, Regression Testing, Smoke Testing, Functional Testing, REST APIs, Postman, Git/GitHub, and basic SQL - Strong debugging and problem-solving skills - Solid understanding of the Software Testing Life Cycle (STLC) Preferred Skills: - Playwright, PyTest/Robot Framework/TestNG, Jenkins/GitHub Actions, Docker fundamentals - Performance and load testing concepts, Experience testing AI-powered applications - Workflow-based application testing, FastAPI backend testing, BrowserStack/Selenium Grid - Agile/Scrum methodologies This role is suited for someone with a strong analytical and troubleshooting mindset, a passion for automation and reducing manual testing efforts, the ability to independently design and maintain automation frameworks, and comfortable working in fast-paced engineering environments.