• Ensure project quality by working closely with the team of data engineers and developers • Perform functional, non-functional, regression, and acceptance testing • Perform API and application testing • Assist team with reviewing and testing requirements • Develop and maintain test-related documentation, perform workload planning • Be proactive in obtaining and clarifying functional and non-functional requirements as necessary • Identify opportunities for test automation framework improvements and simplification • Quickly learn new concepts and technologies and apply those where they are relevant

• Architect and scale automation frameworks: Design, implement, and maintain scalable test automation frameworks using PHP, C#, .NET, and Playwright. • Champion AI‑driven quality practices: Lead adoption of AI tools (e.g., Azure OpenAI, GitHub Copilot, Testim) to enhance test generation, test prioritization, risk identification, and defect detection. • Embed AI‑assisted testing into delivery: Integrate AI‑assisted testing into CI/CD pipelines using Azure DevOps and GitHub Actions to improve repeatability, speed, and signal quality. • Partner for quality-by-design: Collaborate with developers to ensure testability is built into architecture and implementation; advocate for shift‑left quality practices. • Expand coverage beyond functional testing: Build and maintain frameworks and pipelines for integration, behavioral, stress, and performance testing; conduct performance, load, and security testing using both traditional and AI‑enhanced approaches. • Operate in cloud‑native environments: Work within AWS, Docker, Kubernetes, and MCP servers to validate reliability in distributed systems. • Lead within agile teams: Serve as the testing strategy owner within an embedded agile team—driving test automation requirements for each iteration and release. • Mentor and elevate the team: Mentor junior SDETs and influence quality engineering standards (coding standards, framework improvements, best practices, and quality metrics). • Improve efficiency and innovation: Continually evaluate test automation strategy and identify areas to improve stability, execution time, maintainability, and coverage. • Hands‑on QE lifecycle ownership: Drive QE processes from requirements analysis and test design through implementation, execution, maintenance, and analysis.

• Test automation framework development • CI/CD integration • Quality strategy implementation • Performance testing

• Design, implement, and maintain a comprehensive automation framework for functional, regression, and integration testing • Build automated test scripts for APIs, UI workflows, data pipelines, and AI agent interactions using tools such as PyTest or Selenium • Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or Cloud Build) • Ensure test scripts cover both core platform functionality and partner integrations (Veeva Vault, Vertex AI, Snowflake) • Develop and execute test cases for new features, enhancements, and bug fixes • Conduct regression testing prior to each release to ensure platform stability • Define and perform compliance and validation testing to ensure platform adherence to HIPAA, GDPR, SOC 2, and MLR workflow standards • Oversee integration testing for all platform connectors and data flows (Veeva Vault, Aprimo, SharePoint, SFMC, Google Vertex AI)