Quality Assurance Automation Engineer

• 3+ years of experience in QA automation and software testing.
• 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 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)

Education:

Bachelor’s degree in Computer Science, Engineering, or related field.