At TÜV SÜD we are passionate about technology. Innovations impact our daily lives in countless ways, and we are dedicated to being a part of that progress. We test, we audit, we inspect, we advise. We never stop challenging ourselves for the safety of society and its people. We breathe technology, we strive for professional excellence, and we leave a mark. We take the future into our hands. We are TÜV SÜD.

Role Purpose

This role focuses on modern, automation-first quality engineering, leveraging AI-assisted testing, autonomous test generation, and intelligent validation to accelerate delivery across multiple products and teams. The engineer will design, build, and evolve automation frameworks while introducing AI-driven capabilities (“vibe coding”, generative testing, self-healing tests, etc.) to improve software quality and team productivity.

Key Responsibilities

• Lead and evolve the end-to-end test strategy across multiple teams and product lines.
• Architect, develop, and maintain advanced automated test frameworks using C#, Python, or similar languages.
• Integrate AI/ML-based test generation and analysis tools (e.g., GitHub Copilot, Claude, ChatGPT-based test assistants, Mabl, Testim, Functionize).
• Implement autonomous or semi-autonomous testing workflows, including:
  • Generative test creation
  • AI-assisted code reviews for test coverage
  • Intelligent defect triage and prioritisation
  • Self-healing test scripts
• Enhance and maintain CI/CD pipelines to support automated quality gates, using tools such as Azure DevOps, GitHub Actions, Jenkins, or GitLab CI.
• Define and maintain high-quality performance, regression, integration, and acceptance test suites.
• Build and manage synthetic data and AI-assisted test data generation environments.
• Collaborate closely with development, DevOps, and product teams to embed quality early in the SDLC.
• Champion continuous improvement in automation practices, tooling, and AI-driven testing.
• Produce clear, high-quality documentation for automation frameworks, testing processes, and AI-enabled tools.

Essential Skills & Experience

Automation & Development

• Strong hands-on C# automation experience and solid software engineering fundamentals.
• Expertise using automation frameworks such as Selenium, Cypress, Playwright, NUnit, xUnit.
• Experience integrating AI testing tools or LLM-driven assistants into test workflows.
• Ability to build robust, reusable test components and frameworks.

AI-Augmented Quality Engineering

• Experience or strong interest in using LLMs/AI for:
  • Generating test scripts
  • Code validation
  • Impact analysis
  • Test optimisation
• Familiarity with prompt engineering concepts and AI safety considerations.

CI/CD & DevOps

• Strong experience with Azure DevOps, GitHub Actions, Jenkins, or GitLab CI.
• Proven ability to create automated quality gates and pipeline-integrated testing.
• Good understanding of Git and branching strategies.

Testing Practices

• Strong grounding in unit, integration, regression, and performance testing.
• Experience with API testing tools (Postman, Swagger tooling, REST Assured, etc.).
• Knowledge of containerisation (Docker/Kubernetes) for consistent test environments.

Business Analysis & User-Centric Quality

• Strong ability to engage with customers, users, product owners, and business analysts.
• Skilled in extracting, clarifying, and challenging requirements to ensure shared understanding.
• Capable of translating requirements into clear acceptance criteria and testable conditions.
• Acts as a voice of the end user, ensuring that "meets criteria" is validated against real user needs, not just technical specifications.

Desirable Skills

• Experience with cloud (Azure/AWS/GCP) test environments.
• Knowledge of IaC tooling (Terraform, Bicep, Ansible).
• Experience with observability platforms (Grafana, Kibana, Application Insights).
• Familiarity with ML model testing or data validation frameworks.
• Understanding of security testing (SAST/DAST) and AI governance.

Education & Seniority

• Degree or equivalent in Computer Science, Software Engineering, or equivalent experience.
• Mid to Senior level depending on automation & AI experience.

At TÜV SÜD, we have employees from more than 100 different countries collaborating together. People of different backgrounds, skills, and pursuing different life goals. Our strength comes from these countless and varied perspectives.

We are committed to be an inclusive and diverse workplace by welcoming people of all backgrounds. We want Diversity & Inclusion (D&I) to be a foundation of our company and create an environment where all our employees can trust they will be treated with respect, regardless of gender, nationality, ethnic background, faith, beliefs, disabilities, age, sexual orientation, or identity. As such, our employees are expected to behave at all times in a manner consistent with TÜV SÜD Code of Ethics and Company values.

We firmly believe embedding D&I in the heart of what we do will inherently contribute to the success of TÜV SÜD. Click here to find out more about Diversity at TÜV SÜD.