Develop test plans and test cases aiming to cover all requirements and improve the overall quality of the applications.
Interact with Business Analysts and Developers to define Testing Scope.
Leverage AI-assisted coding tools (e.g., Cursor, GitHub Copilot) to accelerate the automation of test cases and run them in CI/CD pipelines.
Develop and maintain testing documentation with test case descriptions, expected results, and test requirements traceability.
Utilize Large Language Models (LLMs) like Claude and ChatGPT to draft, refine, and accelerate the creation of QA documentation and test design documents.
Design, test, and maintain a library of reusable prompts and AI workflows to ensure consistency and high quality in AI-generated QA assets.
Conduct exploratory and acceptance testing of new features.
Review, validate, and debug AI-generated test code and cases to ensure technical correctness, completeness, business relevance, and edge-case coverage.
Bugs analysis with the purpose of increasing test coverage in critical areas.
Search for ways to constantly improve our test project, tools, and product quality.
Recommend alternatives to improve verification time and automate testing processes wherever possible, including the integration of emerging AI-driven testing tools.
Requirements
5+ years of hands-on experience with automation testing of web application documentation (C#/Java).
Strong experience with OOP
Experience with testing Rest APIs, GraphQL.
Solid understanding of QA processes, best practices, testing techniques, and methodologies.
Proven experience integrating GenAI tools (e.g., ChatGPT, Claude, Cursor, OpenAI Codex) into the software development or testing lifecycle.
Strong prompt engineering skills tailored for QA workflows, such as generating edge cases, boundary value analysis, and synthetic test data.
Experience with ERP, CRM systems, eCommerce or EDI related application, Integrations is a plus.
Experience with automation testing using Selenium on .NET Framework using C# is a plus.
Experience with CI system is a plus.
Proficiency with test design practices and techniques (BDD, white box, black box, etc.)
Self-motivation and learning capability, ability to work independently with minimum supervision.
Experience of interaction with application developers.
Ability to manage multiple competing priorities.
Excellent oral and written communication skills
Being passionate about quality and continuous improvement, and staying up-to-date with AI advancements in QA.