QA Engineer

2 weeks ago

Delhi India CARPL - Radiology AI Platform Full time

Job Description Description About us CARPL.ai is a vendor-neutral Artificial Intelligence (AI) platform that allows radiologists to access, assess, and integrate radiology AI solutions in their clinical practice. CARPL provides a single user interface, a single data channel, and a single procurement channel for the testing, deployment, and monitoring of AI solutions in clinical radiology workflows. We are the world's largest radiology AI marketplace offering 200+ applications from 85+ AI vendors. What You'll Do (Responsibilities) - Develop and execute detailed test plans, test cases, and test scripts. - Perform functional, regression, performance, and usability testing. - Identify, document, and track software defects and inconsistencies. - Automate test cases and improve test coverage using industry-standard tools. - Collaborate with developers and product managers to define testing requirements and acceptance criteria. - Conduct root cause analysis of issues and work with the development team for resolution. - Maintain and enhance the existing test framework and CI/CD pipelines. - Ensure compliance with quality standards and best practices. Skills & Experience (Required) - Bachelor's degree in Computer Science, Engineering, or a related field. - 2+ years of experience in software quality assurance. - Proficiency in automated testing tools (e.g., Selenium, Cucumber). - Strong understanding of software testing methodologies, tools, and processes. - Experience with test management tools (e.g., JIRA). - Experience with programming languages (e.g., Python, JavaScript). - Experience with CI/CD tools (e.g., Jenkins, GitLab). - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. Preferred Skills - Experience with performance and security testing. - Knowledge of API testing (e.g., Postman, REST Assured). - Experience in Agile/Scrum environments. - Familiarity with cloud-based infrastructure (e.g., AWS, Azure).

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