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Senior Quality Engineer - Data Analytics & AI (f/m/d)

TÜV SÜD -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Azure
React
JavaScript
REST
APIs
Softwaretest
Künstliche Intelligenz
TypeScript
Python

Vollständige Stellenbeschreibung

Senior Quality Engineer - Data Analytics & AI (f/m/d)

At TÜV SÜD Group 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 Group.

We are looking for a Senior Quality Engineer with a strong focus on test automation to ensure high-quality software within a centrally developed, custom GenAI platform used across the enterprise.

Your Tasks

Collaborate with development teams and product management to design, own and execute end-to-end tests for new features and platform components as well as release quality gates and readiness decisions
Develop and maintain automated test suites (unit, integration, API, UI) across React frontend and Python backend services
Validate data pipelines, ML models, and AI-driven features to ensure expected functional behavior and output consistency
Contribute to the integration of automated tests into CI/CD pipelines (e.g., Azure DevOps) and support test execution during deployments as well as the release process.
Identify, document, and track defects; support teams in resolving issues and improving overall test coverage
Support improving QA processes, test approaches, and documentation in collaboration with the broader QA and development team

Your Qualification

Minimum 5 years of experience in Quality Engineering or Software Testing, with a focus on test automation in cross-functional teams
Solid programming skills in Python and JavaScript/TypeScript, with experience writing automated tests independently
Hands-on experience with testing frameworks and tools (e.g., Playwright, pytest, unittest, REST API testing), as well as exploratory testing.
Familiarity with CI/CD systems (preferably Azure DevOps) and integrating automated tests into pipelines
Experience testing cloud-based applications (preferably Azure), including APIs and distributed services; exposure to data or AI-related testing is a plus
Experience with QA tools for defect tracking and documentation

At TÜV SÜD Group, 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 Group 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 Group. Click here to find out more about Diversity at TÜV SÜD Group.

Work Area: Digital, IT, IT Security & Safety

Country/Region: Germany

Job Location: München

Working Model: Hybrid

Employment Type: Full time / regular

Company: TÜV SÜD Digital Service GmbH

Org Unit Code: DAA-DOA

Requisition ID: 5491

Duration in months (if limited contract):

Jetzt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als cloud (data) platform engineer (m/w/d) in münchen, by erhalten

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