• Acompañar a otras empresas en su evolución y transformación tecnológica • Conocer las necesidades particulares del mercado local • Proyectar soluciones internacionalmente • Ser parte de un equipo que promueve el desarrollo y mejora continua

• Diseñar la estrategia de pruebas y definir la cobertura de testing • Proveer datos de prueba y dar feedback continuo sobre la calidad del código • Ejecutar pruebas manuales que por su naturaleza no puedan automatizarse • Gestionar las métricas de incidencias del ciclo de desarrollo • Enseñar al equipo prácticas de calidad en entornos ágiles

Role Description We are looking for a Software QA Engineer who will contribute actively to testing initiatives by taking ownership of feature-level manual testing, API validation, and test case design. - Take initiative in system stability and long-term maintenance - Show proactiveness in identifying bugs early and maintaining overall quality - Design and execute test cases for user stories and bug fixes. Report bugs clearly and help reproduce edge cases - Apply critical thinking to outline test cases that cover both expected and edge scenarios - Contribute to functional and exploratory testing - Support API testing using tools like Postman - Participate in QA validation during deployment windows - Take accountability and lead initial triage when incidents occur - Coordinate with developers, stakeholders, and product owners for test clarifications - Proactively outline the business and functional cases when planning a feature or a task - Contribute to documentation and regression coverage - Participate in refining the QA process and standards - Mentor junior QA engineers when needed and provide constructive feedback Qualifications - Bachelor’s degree in Computer Science or Engineering or college diploma in QA Testing - 3 years of experience with manual testing in agile environments - Strong ability to outline well-structured, edge-aware test cases - Basic to intermediate API testing skills - Working knowledge of modern test case management tools - Familiarity with debugging tools, logs, and dev console outputs for issue replication - Strong understanding of how to test systems that interact with multiple AI tools (e.g., LLMs, AI integrations, third-party APIs) - Experience supporting deployment testing and post-release validation - Proven accountability in incident-related QA support and recovery - Proactive attitude toward system quality and test ownership - Comfortable collaborating closely with developers, designers, and product teams in a cross-functional environment - Able to balance testing priorities between fast delivery and thorough coverage - Ability to communicate bugs and testing needs clearly - Willingness to mentor and support junior QA team members when required - Confident in proposing improvements to existing QA practices and infrastructure - Enthusiasm for continuous learning and testing process improvement

• Test Execution & Strategy • Design and execute test plans across Web, API, and/or Data components, proactively identifying coverage gaps. • Perform functional, regression, and integration testing. • Identify, document, and track defects in Jira with clear reproduction steps, root-cause context, and impact analysis. • Create and maintain test data and environments needed for execution. • Troubleshoot and investigate issues independently - reproducing defects, gathering logs, and validating fixes. • Build and maintain test scripts and automation, contributing to frameworks and team standards. • Collaboration & Ownership • Communicate testing progress, risks, and issues clearly to both technical and non-technical stakeholders. • Own assigned testing areas and drive tasks to completion with minimal oversight. • Collaborate cross-functionally to resolve ambiguity and unblock issues. • Mentor junior QE team members as needed. • Quality Practices & AI Tools • Apply and help refine QE standards and processes (test case structure, defect reporting, regression workflows). • Contribute to SDLC quality practices and participate in Agile/Scrum ceremonies (sprint planning, backlog refinement, retros). • Use AI tools (e.g., GitHub Copilot) to write and improve test automation scripts and snippets. • Leverage AI tools to generate and refine test case ideas from requirements or user stories. • Use AI-enhanced search across bug tracking and documentation systems to speed up investigation and reduce duplicate work.