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Libra Solutions

Quality Engineer, AI-Native

Libra Solutions

Quality Engineer responsible for automated testing across API and UI in AI-native model. Working for Libra Solutions to enhance healthcare accessibility through technology.

Posted 5/21/2026full-timeRemote • Nevada • 🇺🇸 United StatesJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
AngularASP.NETAzure.NETReactSQLTypeScript

About the role

Key responsibilities & impact
  • Design, implement, and maintain automated UI and end-to-end test suites using Playwright / TypeScript, covering critical user workflows across React and Angular front-end applications
  • Write automated API tests against C# / ASP.NET Core REST endpoints using TypeScript HTTP client libraries or C# / xUnit / NUnit test projects; validating request contracts, response schemas, business logic, and error handling
  • Build and maintain integration tests that validate service-to-service interactions and data flows across the application stack, including SQL Server / Azure SQL data validation
  • Contribute to test data strategy for the squad’s automated suites: design repeatable, isolated data setup and teardown that enables reliable parallel test execution
  • Use AI-assisted tools (GitHub Copilot, Claude) with structured prompts to accelerate test scaffolding and test generation across API, UI, and integration layers
  • Critically evaluate all AI-generated tests before committing — review for coverage completeness, assertion quality, and absence of false confidence
  • Work within Libra’s agentic engineering model: AI agents accelerate code generation at scale; QEs own the quality judgment that determines what ships
  • Contribute to Azure DevOps CI/CD pipelines, ensuring automated suites run as mandatory quality gates on every build with actionable pass/fail signal
  • Identify, document, and track bugs/defects in Jira with clear reproduction steps and test evidence; partner with engineers to drive timely resolution
  • Participate in sprint ceremonies and contribute to test planning, risk assessment, and acceptance criteria definition alongside the Technical Product Owner
  • Partner with offshore QE engineers on the squad to scope test cases clearly, provide review feedback, and maintain shared quality standards

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent professional experience
  • 2+ years of hands-on test automation experience writing code-based test suites
  • Proficiency in Playwright and TypeScript for UI and end-to-end test automation
  • Experience writing automated API tests in code (TypeScript HTTP clients, C# / xUnit / NUnit, or equivalent), not just exploratory API testing with Postman
  • Working knowledge of C# / .NET applications as the system under test; ability to read C# code to understand expected behavior
  • Familiarity with SQL Server or Azure SQL for data validation within automated tests
  • Experience integrating automated tests into Azure DevOps CI/CD pipelines as quality gates
  • Hands-on experience with AI tools (GitHub Copilot, Claude, ChatGPT) for test scaffolding, test data generation, and defect analysis
  • Understanding of the QE role in an agentic delivery model: able to adapt test strategy and coverage to environments where AI agents contribute significantly to code generation, with heightened focus on validation depth, assertion quality, and critical evaluation of AI-generated test output
  • Creative problem-solving and troubleshooting skills
  • Self-motivated, ownership-oriented, and technically precise; treats test reliability as a first-class concern
  • Must be authorized to work in the U.S

Benefits

Comp & perks
  • Libra Solutions offers competitive compensation and benefits that include medical, dental, vision and life insurance plans, plus a 401k match and paid time off.

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Hard Skills & Tools
PlaywrightTypeScriptC#.NETxUnitNUnitSQL ServerAzure SQLAPI testingtest automation
Soft Skills
creative problem-solvingtroubleshootingself-motivatedownership-orientedtechnically precisecritical evaluationcollaborationcommunicationrisk assessmenttest planning