Job Description
Insight Global is seeking a Sr. Quality Engineer, AI Native for a top technology-driven client operating at the intersection of healthcare, financial services, and legal workflows. This candidate will own test architecture for complex, multi-service platforms while helping define how quality engineering evolves in an AI assisted, agentic delivery model. The role blends deep automation expertise with leadership, mentorship, and modern AI tooling to ensure high-quality releases at scale. This is an opportunity to shape next-generation QE practices while working on products that make a meaningful real-world impact.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Design and own automated test architecture across backend, UI, and E2E workflows
• Build and maintain Playwright/TypeScript UI tests and C#/xUnit/NUnit API tests
• Define and manage scalable test data strategies for CI environments
• Lead AI-native QE practices, including standards for AI-generated test review
• Execute and integrate performance/load testing into release pipelines
• Partner with product and engineering on risk-based test planning
• Use production telemetry to inform and expand automated coverage
• Mentor QEs through reviews, pairing, and technical guidance
• Ensure CI pipelines provide fast, reliable, and actionable quality signals
Nice to Have Skills & Experience
• Experience with AI-native / agentic engineering models
• Hands-on use of GitHub Copilot, ChatGPT, Claude for test generation
• Performance/load testing experience (Azure Load Testing, k6, or similar)
• Experience defining performance thresholds and quality gates
• Familiarity with Azure Monitor & Application Insights
• Experience in highly regulated or complex, multi-service platforms
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.