À propos
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 DevOps 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.
Key Responsibilities
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. Required Qualifications
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). Preferred Qualifications (if any)
E
xperience in healthcare industry testing. Exposure to AI-assisted tools for improving test efficiency and coverage (e.g., GitHub Copilot, Microsoft Copilot). Familiarity with applying AI/ML for test case generation, defect analysis, or test optimization. Certifications (if any)
N
one required, but relevant QA or automation certifications are a plus. Education Requirement
Bac
helor's degree in Information Technology, Computer Science, Statistics, or a related field from an accredited
institution.
Compétences linguistiques
- English
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