Sr. Software QA Engineer

We are seeking a Senior Software QA Engineer to join our IT Applications Testing Shared Services team. This role is responsible for systems testing of start-up implementations and ongoing software development projects. The Sr. QA Engineer will analyze and review system requirements, collaborate with development and Dev Ops teams, and design tests with a strong focus on automation for reusability and maintainability.

Additional responsibilities include developing test strategies in hybrid settings, mentoring team members, and conducting research on new tools and processes.

• Pa rticipate in test planning, test case writing, and execution using both automation and manual approaches.
• Manage manual and automated test activities for web-based and mobile applications.
• Oversee defect lifecycle management, from reporting through closure.
• Identify and prepare test data for testing.
• Provide regular updates to Test/Project Managers and attend project meetings.
• Estimate testing efforts for manual and automation tasks.
• Maintain project documentation for manual and automated testing.
• Support UAT teams with test data needs.
• Mentor team members and contribute to proof-of-concepts for new tools and processes.

• Minimum 5 years of experience in automation and manual testing for complex web-based projects, preferably in healthcare.
• Proficiency in writing test cases and executing tests in Agile environments.
• Hands-on experience with Selenium and Python for test automation (Java acceptable with willingness to learn Python).
• Strong knowledge of REST APIs and web services testing using tools such as Postman.
• Experience building automated test scripts.
• Proficiency in SQL for backend and ETL testing.
• Expertise in testing web/mobile applications and defect management tools.
• Unix/Linux command line experience.
• Working knowledge of AWS fundamentals and core concepts for test development.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines (e.g., Jenkins, AWS tools).

• E xperience in healthcare industry testing.
• Exposure to AI-assisted tools for improving test efficiency and coverage (e.g., Git Hub Copilot, Microsoft Copilot).
• Familiarity with applying AI/ML for test case generation, defect analysis, or test optimization.

• N one required, but relevant QA or automation certifications are a plus.

• Bac helor’s degree in Information Technology, Computer Science, Statistics, or a related field from an accredited institution.