Quality Assurance Tester

Quality Engineer, Ai Native Salary: $120,000 Must Haves: 2+ years of hands-on test automation experience Professional experience using AI-assisted tools (Copilot, Claude, ChatGPT) for test generation and analysis Strong Playwright + TypeScript experience for UI / E2E testing Experience writing code-based API tests (TypeScript or C# with xUnit/NUnit) Working knowledge of C# / .NET applications (ability to read and understand code) Experience testing REST APIs (contracts, schemas, business logic, error handling) Experience validating data using SQL Server or Azure SQL Hands-on experience integrating automated tests into Azure DevOps CI/CD pipelines Strong judgment reviewing and validating AI-generated tests Pluses: Experience in agentic or AI-native engineering environments Exposure to React and Angular front-end applications Experience with integration testing across distributed services Prior work partnering with offshore QE teams Background in highly regulated or workflow-heavy domains (fintech, legal tech, healthcare) Strong ownership mindset with emphasis on test reliability and quality gates Job Description: Insight Global is seeking a Quality Engineer, AI Native for a leading technology-driven solutions organization operating at the intersection of legal, healthcare, and financial services. This engineer will play a critical role in owning automated quality coverage across UI, API, and integration layers in an AI-accelerated development environment. The ideal candidate is highly technical, automation-first, and confident applying strong quality judgment in environments where AI agents contribute to code at scale. This is an excellent opportunity for a QE who wants to shape what “quality” means in a modern, AI-native delivery model while working on impactful, mission-driven products. Day-to-Day: Design, build, and maintain automated UI and E2E tests using Playwright/TypeScript Develop and maintain automated API tests for ASP.NET Core services Create integration tests validating service-to-service data flows Design reliable test data strategies for parallel execution Leverage AI tools to accelerate test creation while critically validating outputs Serve as the quality gatekeeper in an AI-driven development model Integrate and maintain automated test execution in Azure DevOps pipelines Log, track, and partner on defect resolution in Jira Participate in sprint planning, risk assessment, and acceptance criteria definition Collaborate with onshore and offshore QEs to maintain shared quality standards Show more Show less