Quality Engineer-FullStack
Introduction
A Full Stack Tester ensures the quality of both functional and non-functional aspects of an application. Responsibilities include developing test strategies, understanding requirements, creating test cases, automating tests, and collaborating with teams to ensure quality throughout the development lifecycle. This role requires expertise in test automation, bug management, and testing across frontend and backend layers. It involves working closely with QA Leads, Developers, and Product Owners to achieve project goals.
Your role and responsibilities
Test Strategy and Development: Develop test strategies, create detailed test cases, and ensure comprehensive coverage for both functional and non-functional requirements. Frontend and Backend Testing: Validate UI functionality, test APIs, database integrity, performance, and security. Automation: Implement and maintain automated testing frameworks integrated with CI/CD pipelines; automate cross-browser and cross-device regression tests. Exploratory & Regression Testing: Perform exploratory testing and maintain regression test suites to ensure stability with new changes. Bug Management: Monitor the automation pipeline, analyze and report issues, collaborate with developers to fix bugs, and manage the bug lifecycle. Collaboration & Communication: Work closely with QA Leads, Developers, Product Owners, and Business Analysts to clarify deliverables and align on quality goals. Documentation: Maintain test case documentation and keep automation practices up-to-date. Agile Participation: Actively participate in Agile processes, review and clarify requirements, and ensure timely delivery of quality assurance tasks. Reporting & Traceability: Generate detailed test reports, create traceability matrices to measure test coverage, and ensure automation coverage.
Required education
Bachelor's Degree
Required technical and professional expertise
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- 4+ years of hands-on experience in data engineering, automation, performance, AI, or a related field. - Experience with TFS, ALM, Jira or any relevant reporting tools. - Good OOP knowledge and Java language. - Experience with (JMeter, Selenium, APIs). - Basic AI Knowledge - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - Fluent in English (Written and Spoken).
Preferred technical and professional experience
-Strong proficiency in testing tools and automation frameworks. -Experience with CI/CD pipelines for continuous integration of tests. -Understanding of both frontend (UI) and backend (API, database) testing methodologies. -Knowledge of BDD, test case design, and implementation. -Experience with cross-browser and cross-device testing. -Understanding of AI concepts and models
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