Qa,tester - Budapest

As Hungary's most attractive employer in 2025 (according to Randstad's representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

The Digital Hub OS&R develops and delivers IT solutions for the planning, building, and operation of broadband network infrastructure (including BNG). It covers the full network lifecycle-from integrated planning and rollout to ongoing operations-while driving automation across these processes. Its goal is to provide end-to-end solutions from a single source, enabling faster, more efficient, and customer-focused software delivery through feature-centric agile development.
As a ROSÉ Software QA Engineer, you will play an integral role in ensuring the quality and reliability of OSNR processes by:

• Test Design & Execution:
• Developing comprehensive and well-structured test cases based on detailed business and technical requirements.
• Preparing and executing sets of regression tests to evaluate system stability.
• Applying REST API testing methodologies and validating endpoints using tools like Calypso and Hoppscotch.
• Testing Activities:
• Performing a diverse range of testing, including:
• Manual Testing: Identifying edge-case scenarios, user experience, and error handling.
• Automated Testing: Using industry-standard tools to enhance efficiency.
• Integration Testing: Validating proper collaboration between system modules.
• Regression Testing: Ensuring new changes don't impact existing functionalities.
• Smoke Testing: Rapidly identifying critical issues in builds.
• Logging, reviewing, and analyzing test results to verify objectives are met.
• Defect Management:
• Reporting, tracking, and verifying issues or defects using advanced tools such as JIRA and Xray.
• Collaborating with developers to ensure defects are adequately resolved and prevented from recurrence.
• Cross-Team Collaboration:
• Coordinating testing efforts with other teams when necessary to ensure seamless end-to-end process validation.
• Communicating continuously with several teams inside and outside the Hub.
• Process Optimization:
• Actively participating in initiatives to improve testing workflows, procedures, and tools.
• Providing feedback to enhance automation frameworks and increase test reliability.
• Continuous Development:
• Staying up-to-date with emerging QA, automation, and industry trends (e.g., AI testing tools).
• Embracing opportunities to develop and share knowledge regarding optimal testing practices

Technical Skills:

• Solid understanding of software testing lifecycle, practices, and concepts (manual and automation testing).
• Basic knowledge of REST API testing techniques and understanding API tools such as Calypso, Hoppscotch, or equivalent utilities.
• Familiarity with XML, JSON validation, and transformation technologies.
• Data bases, SQL
• SDLC and STLC
• Hands-on experience with defect tracking tools (JIRA) and integration plugins like Xray.
• Knowledge of Agile methodologies, particularly KANBAN and Scrum frameworks.

Telecommunication Knowledge:

• Foundational understanding of telecommunication processes, including system integration and workflows (OSNR processes as a key focus).

Soft Skills:

• Strong analytical, troubleshooting, and problem-solving capabilities.
• Effective collaboration and interpersonal skills for team-oriented environments.
• Proficient written and verbal English communication for business-level discussions.

Supporting Skills (Highly Desired):

• Hands-on experience with test automation tools is a strong asset.
• Familiarity or working knowledge of AI tools for QA and testing.
• Ability to adapt to evolving processes and technologies.
• A proactive approach to continuous improvement in QA techniques.
• Self-motivated with a drive toward skills development in quality assurance