Job ID: Automation Tester (m/f/d)MadridProfessionalRegularT-Systems IberiaYour TaskThe team is responsible for the development and operations of Monitoring and Data Analytics Tools for the Network Control Platform of Deutsche Telekom Germany (AAA Fixed Net Germany). The project is responsible for controlling Internet access and managing the underlying network infrastructure for Deutsche Telekom Germany. It supports millions of concurrent user sessions while ensuring high availability, scalability, and reliability.Key capabilities of the platform include Authentication, Authorization, and Accounting (AAA) for secure user access management, dynamic service provisioning to enable automated customer and network service activation, and support for all-IP services, including MagentaTV, IP telephony, and other next-generation network services.ResponsibilitiesExecute and validate software releases through structured testingDevelop and enhance test automation frameworksMaintain and evolve CI/CD pipelines and test environmentsOperate and support test systems,



including deployment of software deliveriesDesign, execute, and document platform-level test cases, including reporting for formal acceptanceDefine and refine test cases to extend coverage and validate new functionalitiesIntegrate solutions into the Deutsche Telekom test frameworkEnsure proper documentation within internal tool systemsPerform troubleshooting and provide operational support during testing and rollout phasesSupport internal and external stakeholders in the test environmentYour ProfileWe are looking for a qualified Software Testing and Quality Assurance Professional with strong technical expertise in IP network infrastructure, Linux systems, cloud technologies, and test automation, combined with solid methodological competencies and personal qualifications for working in international environments.Must Have SkillsStrong knowledge of IP network infrastructureAdvanced Linux expertiseExperience with IP protoco

📌 Automation Tester (Madrid)
🏢 Telekom
📍 Madrid