QA Automation Lead for HealthTech & AI Testing

Client is seeking a highly skilled Quality Assurance Automation Engineer to design, develop, and maintain automated testing solutions for virtual assistants (agents) to support members and providers by accessing timely, accurate health insurance answers across digital channels. The ideal candidate will have strong experience in Behavior Driven Development and Test Driven Development methodologies, automation scripting, and healthcare domain knowledge. Key Responsibilities Design, develop, and maintain automated test scripts using industry-standard tools and frameworks (e.g., Selenium, Cypress, Playwright, Appium). Build and enhance automation frameworks to support functional, regression, and performance testing. Collaborate with developers and QA analysts to understand application functionality and define test coverage. Execute automated test suites and analyze results to identify defects and ensure compliance with quality standards. Integrate automated tests into CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps. Monitor and maintain test execution in CI environments to ensure timely feedback. Log, track, and verify defects using tools such as JIRA or Azure DevOps. Work with development teams to reproduce issues and validate fixes. Prepare detailed test plans, test cases, and automation scripts documentation. Generate and present test execution reports to stakeholders. Identify opportunities to improve automation coverage and efficiency. Stay updated with emerging trends, tools, and best practices in test automation. Required Qualifications 5+ years of experience in QA automation and software testing. Strong technical expertise in core programming concepts (e.g., Java OOPs, Data Structures) with the ability to adopt and work with multiple languages such as Java, JavaScript, or Python. Hands-on experience implementing and enhancing test automation frameworks, including designing scalable and maintainable solutions. Hands-on experience with automation tools, including Hammer On Demand, Cyar, and Selenium. Strong understanding of SDLC, Agile methodologies, and QA principles. Experience with CI/CD tools and version control systems (e.g., Git). Frameworks & Methodologies: BDD (e.g., Cucumber, SpecFlow), TDD. Testing Expertise: Functional, Regression, Integration, and Performance Testing, including proficiency in backend API test automation and database testing Healthcare Domain Knowledge: Familiarity with HIPAA compliance and healthcare workflows Exposure to GenAI and AI-driven tools utilized for test automation, with an understanding of how these can be integrated into QA processes Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to clearly articulate technical concepts and demonstrate practical problem-solving skills during discussions. Preferred Qualifications Conversational AI Testing: Hands-on experience or strong exposure to testing chatbots and voice-based virtual assistants across multiple platforms. AI Model Evaluation: Familiarity with key evaluation metrics such as accuracy, precision, recall, and F1-score for assessing AI model performance. Experience with Agentic IDEs: Familiarity with AI-powered development environments (e.g., Windsurf, Cursor, or similar) for creating, maintaining, and optimizing automated test scripts. Experience with API testing (REST, SOAP) Knowledge of cloud platforms (AWS, GCP, or IBM Cloud) #J-18808-Ljbffr Veriipro