IDnow is a leader in digital identity and fraud prevention in Europe with a mission to transform trust into the most powerful asset in the digital world, empowering enterprises with AI-driven, SaaS-based identity solutions that deliver scalable security, adaptive compliance, and real-time fraud prevention. Through its broad portfolio of digital identity and fraud prevention solutions, IDnow establishes, maintains and enriches trust throughout the customer journey, ensuring businesses can confidently and securely operate while leveraging digital identity to drive growth, security and scalability.

The company has offices in Germany, United Kingdom, Romania and France, and is backed by renowned institutional investors, including Corsair Capital and Seventure Partners. Its portfolio of international clients spans a wide range of end markets including financial services, telecommunications, travel & mobility, gaming, and other industries.

This position is based in Rennes, France.

By joining our Engineering team, you won't just be a tester — you'll be at the heart of quality for complex AI systems, working hand in hand with our research team. That's rare. That's exciting. And that's what we offer.

As a Senior QA Engineer, you will play a key role in the reliability and robustness of our AI/ML-based identity verification services. You will work day-to-day alongside our data scientists, researchers, and software engineers to design test strategies that match the complexity of our systems.

This role is also central to our delivery chain: you will be a key player in our CI/CD pipeline, ensuring every release is production-ready.

Key Responsibilities

• Design, develop, and maintain robust automated tests in Python
• Debug complex components related to AI/ML models and distributed architectures
• Own and improve our CI/CD pipeline (GitLab CI): test integration, deployment management, and continuous improvement
• Work closely with the R&D team to anticipate quality risks from the design stage
• Identify, document, and track bugs throughout their full lifecycle
• Actively participate in Agile/Scrum ceremonies and contribute to high-quality releases
• Share best practices and raise the QA bar across teams

Preferred Experience

• 3+ years of experience in QA and test automation on complex systems
• Strong hands-on skills in Python for automation (pytest, Locust, etc.)