Senior Test Automation Engineer (with C# or Python)

The client is a market leader processing over 18 million vehicle claims per year since 2002, with more than 1,000 employees worldwide. Combining AI-based processes and automotive expert knowledge, they aim to settle claims fairly on the same day through digitalization and in-house R&D.

• Completed IT-related vocational training, preferably complemented by a degree in computer science or related fields.
• At least 5 years of professional experience in test automation and quality assurance.
• Solid programming experience specifically in C# or Python.
• Familiarity with testing and debugging agentic or autonomous AI systems.
• Agile mindset, proactive attitude, and strong methodological expertise in test case design tailored to complex AI-driven systems.
• Proficiency in testing tools and frameworks such as SpecFlow, XRay, Selenium, and JMeter, including application to AI-specific testing challenges.
• Excellent communication skills in English, both verbal and written.

Nice to have:

• Certification according to ISTQB® or CAT® demonstrating structured knowledge in software testing.
• Experience in agentic AI testing considered a strong advantage.
• German language skills are a plus.

• Holistic evaluation and continuous enhancement of all quality management aspects, especially agentic AI systems.
• Develop clear and actionable acceptance criteria in close collaboration with Product Management, cross-functional departments, and software developers.
• Design, build, and execute comprehensive test scenarios, including functional, integration, and agentic AI-driven behavior tests.
• Investigate, reproduce, document, and communicate detailed reports on software defects and anomalous AI behaviors.
• Expand and refine test automation frameworks within a CI/CD pipeline, with a focus on autonomous decision-making AI scenarios.
• Provide active support during customer acceptance tests, performing both automated and manual test procedures.
• Continuously ensure and enhance user experience, system security, reliability, and performance, particularly with AI-driven challenges.
• Collaborate closely within the dedicated testing team to share knowledge, improve testing strategies, and implement innovative approaches to agentic AI testing.