Engineer III, Software Verification

Design, develop and execute test cases to ensure the quality of the product by proving system functionality, verify business and user requirements are met in Electrophysiology domain area. Acting as test lead for projects in determining test methodology, test strategy and test data setup. Design and develop innovative test automation tools Leading technical strategies for test automation teams Execute automated test scripts. Ensure that tests have been conducted in accordance with written procedures. Enhance the test automation framework and debug issues discovered in Jenkins builds Plan the new test cases development for various software releases Document test results and write test reports. Diagnose problems and report bugs and enhancements in a bug tracking system. Provide technical guidelines, share knowledge, and demonstrate product areas to other team members on ad hoc basis. Participate in regular scrum meetings, product review meetings, bug triage meetings etc. Work closely with software development team, hardware engineering team, field support team, and other cross-functional teams. Preferably BS/MS in Computer Science, Data Science, Biomedical Engineering, or equivalent. Experience range - 6+ years In-depth knowledge of software development, life cycle and test methodology. Test Automation of C++, Qt application. Strong programming experience is required in Python and C++. Test automation is in python but strong interaction with architects and developers where application development is happening in C++ & Qt. Advanced experience in Python is required as automation is in python and the need is to code and maintain large and complex python packages Linux OS, Memory management, experience with embedded systems. Prior experience with software test automation for medical devices software and system. Experience with test automation tools such as Squish for testing is a plus Experience with design and development of test automation frameworks. Experience working in Agile Scrum development environment. Strong written and verbal communication skills. Strong analytical and problem-solving skills. Apart from the above qualifications, knowledge of the below areas will be a plus: Experience with machine learning, including expertise in ELK stack and AI technologies for analyzing results and creating dashboard. Experience with generative AI platforms such as Amazon Bedrock or Azure GenAI