Senior Quality Engineering Lead
unitedhealthgroup
Job Description
- Design and develop AI-enabled test automation frameworks using AccelQ
- Perform hands-on functional testing, including system, integration, and regression testing
- Integrate testing into CI/CD pipelines (GitHub Actions/Azure DevOps/Jenkins)
- Build reusable automation frameworks and test capabilities
- Work in Agile environments using tools such as Rally and Jira to manage test cases, execution, and defect tracking
- Participate in requirement gathering and clarification sessions with business stakeholders to understand system enhancements and changes
- Collaborate with development teams for defect triage, walkthroughs, and seamless release handovers
- Design, execute, and validate REST API test scenarios, including request/response validation, authentication, schema validation, error handling, and negative testing
- Conduct API testing using Postman, Insomnia, and Rest Assured to validate integrations, backend functionality, and data accuracy
- Write and execute SQL queries to validate data integrity, transformations, source-to-target mappings, and backend processing
- Analyze database results and application logs to identify root causes, integration failures, and functional defects
- Apply strong analytical and problem-solving skills to identify testing gaps, assess risks, and improve test coverage
- Validate end-user workflows for usability, navigation, functional accuracy, error handling, and overall user experience
- Track, document, and communicate quality metrics to support Go/No-Go release decisions
- Mentor and guide junior QA team members on testing best practices, tools, and frameworks while ensuring timely project delivery
- Adapt to evolving methodologies, platforms, and frameworks to support changing business needs
- Contribute to test strategy development, risk assessment, and continuous quality improvement initiatives
- AI Responsibilities
- Utilize GenAI tools such as Copilot and Gemini AI to improve productivity, accelerate testing activities, and support feature implementation
- Stay updated on emerging AI trends, tools, and ethical practices in software testing
- Leverage AI-assisted tools to enhance test case creation, improve test coverage, and reduce manual testing efforts
- Apply prompt engineering techniques to optimize day-to-day QA activities and workflows
-
Evaluate and adopt AI-enabled testing capabilities to improve efficiency and quality outcomes
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements