• Test web and mobile applications using all available methods (including automated regression suites, API validation, and exploratory testing of the app) • Perform risk-based exploratory testing to identify critical defects beyond scripted checks, ensuring testing efforts are prioritized where they matter most. • Design, maintain, and improve automated test scripts in Playwright and Python. • Analyze the product and its business and technical requirements to design high-value test scenarios and scripts that form the foundation for robust automation. • Perform API testing with Postman, including automated API test execution. • Collaborate with developers and product teams in an Agile/Scrum environment. • Support CI/CD testing processes (GitLab CI). • Report and track defects using Jira and document findings in Confluence. • Participate in the adoption and daily use of AI testing tools (e.g., for test creation and defect analysis). • Contribute to improving QA processes and share knowledge with the team.

• Develop and execute comprehensive test plans for modernized Python and AWS-based applications (Lambda, Step Functions, API Gateway, EventBridge, etc.) • Validate application behavior across the full modernization lifecycle, including system integration, data migration integrity, performance, regression, and stress testing • Collaborate with architects and engineers to ensure test coverage aligns with enterprise engineering and modernization standards • Implement automated test suites for APIs, data processes, and serverless workflows • Identify risks, defects, and gaps during migration efforts and document them clearly with actionable recommendations • Verify data migration tools, processes, and outputs for accuracy, completeness, and compliance • Participate in reviews of requirements, architecture documents, and code to ensure testability and alignment with quality standards • Work closely with development teams to troubleshoot issues and validate fixes across legacy and cloud-native components • Ensure all QA documentation is complete, traceable, and ready for handoff to core engineering and operations teams • Track and report testing progress, risks, and quality metrics to stakeholders • Stay current with QA best practices, testing tools, and cloud testing strategies, recommending improvements to enhance quality and efficiency

• Lead the oversight, execution, and successful delivery of large-scale, cross-functional, and potentially multi-year initiatives that are high impact and strategically important to the organization • Provide strategic input and technical expertise while applying project management best practices to support functions across RDQA • Partner closely with cross-functional teams to ensure alignment, consistency, compliance, communication, training, and effective change management • Manage large-scale projects and process improvement initiatives focused on operational excellence, organizational maturity, and scalable solutions • Serve as the central communication conduit across project teams to ensure transparency, clarity, and alignment • Identify appropriate project representatives, governance model, engagement timing, and cross-functional involvement needed for successful execution • Conduct research, data analysis, and root cause investigations to identify process gaps, operational risks, trends, and improvement opportunities • Serve as a Subject Matter Expert (SME) on medium-complexity initiatives, providing guidance on processes, systems, and analytics • May manage, mentor and train employees and contracting staff providing administrative / coordination assistance ensuring efficient time and resource utilization

• Define and own the architecture for QA automation and software verification frameworks • Build scalable, high-quality automation and test harnesses across our product suite • Leverage agentic AI tools (e.g., Claude Code, Cursor, Codex) to generate, refine, and scale test automation • Guide and direct AI-driven test creation and validation strategies • Ensure performance, scalability, and maintainability of QA systems • Partner closely with engineering to embed testing into the development lifecycle • Collaborate with product, design, and DevOps teams to ensure high-quality releases • Continuously evaluate and improve QA processes, tools, and frameworks