
QA Automation Engineer / SDET (AI & Parity Focus)
Deutsche Telekom IT Solutions7 hours ago
Debrecen, Hungary +2 moreSenior
Responsibilities
- Design and maintain automated regression suites to protect legacy functionality and verify parity during migration.
- Use AI-powered tools for automated test generation, self-healing test scripts, and intelligent visual regression testing.
- Build and optimize scalable UI, API, and integration test automation frameworks for .NET and cloud-native environments.
- Integrate automated tests into GitLab, GitHub, and Jenkins DevOps pipelines.
- Validate complex data flows and integrations between legacy monoliths and modern services.
- Collaborate with developers and architects to identify testable areas and improve legacy code testability.
Requirements
- 5+ years of experience in automated software testing with a strong software engineering or SDET background.
- Proficiency with Playwright, Selenium, or Cypress and API testing frameworks such as RestSharp.
- Hands-on familiarity with AI coding and testing assistants and automated regression strategies in complex environments.
- Strong C# programming skills for developing and maintaining test automation code.
- Ability to translate undocumented legacy behaviors into precise automated test scenarios.
Benefits
- Remote work is available within Hungary only due to European taxation regulations.
- Opportunity to work with Deutsche Telekom IT Solutions across its Budapest, Debrecen, Pécs, and Szeged sites.
Tech Stack
C#CypressJenkins.NETSelenium
Categories
About Deutsche Telekom IT Solutions
Deutsche Telekom IT Solutions is the Hungarian IT services arm of Deutsche Telekom, founded in 2006 and headquartered in Budapest. It delivers managed IT operations, cloud and DevOps services, application support, and system integration for Deutsche Telekom units and enterprise customers across Europe. The company operates from four sites—Budapest, Debrecen, Pécs, and Szeged—supporting large-scale infrastructure, CI/CD pipelines, and containerized workloads on platforms such as Kubernetes and T-Cloud Public.