QA Engineer (Manual Testing & AI Integration)
Job Description
Key Skills Required
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You will be:
5+ years of experience
Extensive experience in manual QA activities across different project types and domains.
Experience conducting QA assessments, process audits, and identifying improvement areas
Ability to design and implement test strategies tailored to the project’s context and lifecycle.
Skilled in coordinating and organizing manual QA work within development teams to ensure structured and efficient testing.
Deep understanding of Software Development Life Cycle (SDLC) and QA’s role
Strong knowledge of functional testing techniques and a grasp of non-functional testing (e.g., performance, usability, security).
Designs and manages defect lifecycle processes, performs root cause analysis, and ensures appropriate follow-up actions.
Defines, collects, and tracks product quality metrics to monitor and communicate progress.
Constantly seeks process improvements to optimize testing efficiency and effectiveness.
Proficient in manual API testing using tools like Swagger, Postman, or similar solutions.
Basic understanding of CI/CD pipelines; capable of working in pre-configured environments and integrating QA activities into delivery workflows.
Ability to implement Gen AI into QA work with experience in using tools like Claude, Codex, Copilot or similar
Your profile:
Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
Work from the European Union region and a work permit are required.
Nice to have:
Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
- Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
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Xebia
View Company ProfileXebia (operating under xebia.com) is an elite, global digital transformation consulting and pioneering software engineering enterprise. Founded in 2001 in the Netherlands by Daan Teunissen alongside a collective of senior IT architects, Xebia established its early industry reputation as the first Dutch organization to natively embrace Agile methodologies, partnering directly with Scrum co-creator Jeff Sutherland to redefine enterprise software craftsmanship. The company has since shifted its operational matrix to a dual-headquarters framework, maintaining major corporate hubs in Amsterdam, Netherlands, and Atlanta, Georgia. Xebia specializes in a comprehensive spectrum of advanced digital services, including Cloud Architecture, Data Engineering, Intelligent Automation, DevSecOps, Low-Code solutions, and full-stack Product Engineering. Positioned as a prominent "AI-first" consultancy, Xebia spearheads the modern transition toward the "Agentic Enterprise" via its proprietary Agentic OS—a specialized orchestration platform designed to securely deploy, monitor, and scale intelligent autonomous agents across complex multi-variable business ecosystems. Complementing its consulting vertical, Xebia serves as an incubator for high-value technology spin-offs (such as XebiaLabs, StackState, and Instruqt) and expands its market footprint through an extensive, high-velocity acquisition strategy that has integrated market leaders like PGS Software, Appcino, 47 Degrees, and Oblivion. The firm also operates Xebia Academy, a global upskilling and technical training engine that has trained over 1.3 million students worldwide. Led by Global CEO Anand Sahay, Xebia manages an expansive network of 24 corporate offices and delivery centers across 16 countries. The company leverages a highly technical workforce of over 5,500 consulting professionals and software architects across North America, Europe, the Middle East, and major offshore engineering hubs in India.
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