[Remote] Quality Engineer, AI-Native

Note: The job is a remote job and is open to candidates in USA. Libra Solutions is dedicated to enhancing the efficiency of legal processes through innovative technology. The Quality Engineer, AI-Native will play a crucial role in developing automated test coverage across various layers, ensuring high-quality standards in the AI-native delivery model.

Responsibilities

• 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

Skills

• 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

• Medical, dental, vision and life insurance plans
• 401k match
• Paid time off

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