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Testing IA Automatización Discipline Software

Inetum2

Bogotá, Bogota, Colombia Hybrid permanent

Posted: February 17, 2026

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Quick Summary

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society.

Job Description

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.  

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.  

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.  

Reingeniería de testing e integración de IA y automatización. Este perfil actúa como un consultor interno que diagnostica el estado actual de las pruebas para eliminar cuellos de botella técnicos y operativos, transformando el testing tradicional en un ecosistema de Continuous Testing altamente eficiente.

Responsabilidades Clave:

● Diagnóstico de Madurez de Testing (AS-IS/TO-BE): Realizar auditorías de los flujos de QA actuales para identificar redundancias, pruebas manuales de bajo valor y proponer un modelo futuro optimizado basado en métricas de velocidad y cobertura.

● Implementación de Estrategias de IA Generativa: Seleccionar y desplegar herramientas de IA para la generación de casos de prueba, optimización de scripts (Self-healing) y generación de datos sintéticos, reduciendo el esfuerzo manual.

Hard Skills Requeridas:

● Frameworks de Optimización: Experticia en Lean Testing y metodologías de mejora continúa aplicadas a tecnología.Certificación ISTQB.

● IA Aplicada al Testing: Dominio de herramientas como Copilot for QA para el mantenimiento y creación de tests asistidos por inteligencia artificial.

● Orquestación y Herramientas: Configuración avanzada de herramientas de gestión (Jira/Xray/Zephyr) y su sincronización con pipelines de automatización (GitHub Actions, Jenkins).

● Ingeniería de Datos de Prueba: Capacidad para implementar soluciones de gestión de datos (TDM) y virtualización de servicios para eliminar dependencias externas durante las pruebas.

Indispensables:

Experiencia mínima de 5 años en QA, ser profesional en Ingeniería de Sistemas / Software o afines.

Indispensables certificaciones:

● Certificación ISTQB.

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