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TÜV SÜD • East Kilbride, Scotland, United Kingdom
Role & seniority: Automation-first Quality Engineer; mid to senior level (automation & AI experience).
Stack/tools: C# (primary), Python; automation frameworks (Selenium, Cypress, Playwright, NUnit, xUnit); AI/testing tools (GitHub Copilot, Claude, ChatGPT-based assistants, Mabl, Testim, Functionize); CI/CD (Azure DevOps, GitHub Actions, Jenkins, GitLab CI); containerization (Docker/Kubernetes); test data generation/AI-assisted environments.
Lead and evolve end-to-end test strategy across multiple teams/products.
Architect, develop, and maintain advanced automated test frameworks; implement autonomous/AI-enabled testing workflows (generative test creation, self-healing tests, AI-assisted reviews, intelligent defect triage).
Enhance CI/CD pipelines with automated quality gates; build/manage synthetic data and AI-assisted test data environments; collaborate with dev/DevOps/product to embed quality early.
Strong C# automation experience and software engineering fundamentals; robust, reusable test components/frameworks.
Expertise with Selenium, Cypress, Playwright, NUnit/xUnit.
Experience integrating AI testing tools/LLM-driven assistants; familiarity with prompt engineering and AI safety.
CI/CD experience (Azure DevOps, GitHub Actions, Jenkins, GitLab CI); Git proficiency; testing across unit/integration/regression/performance; API testing (Postman/Swagger/REST Assured); containerize
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).
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
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.
Work Area: Digital, IT, IT Security & Safety
Country/Region: United Kingdom
Job Location: East Kilbride
Working Model: Remote
Employment Type: Full time / temporary
Company: TUV SUD Limited
Org Unit Code: SD
Requisition ID: 4066
Duration in months (if limited contract): 12