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 Munich, Germany.

To apply to the (same) position based in Rennes, France, please apply here..

IDnow is building a next-generation engine to detect and prevent fraud, leveraging advanced data structures and signals. We are looking for a talented Python Software Developer to join our AI & ML Team, where you will contribute to building a reliable, scalable, and intelligent fraud detection engine.

You will work closely with our tech leads, researchers, ML engineers, and product owners to design, build, and operate the core components of this engine, applying your Python expertise to solve complex and high-impact engineering challenges.

We are building the team, looking for three new people to join the team. We are particularly interested if you have relevant experience on the following topics: Please leave a small paragraph in the "Cover letter" section if you do!

• Decisions systems & data analysis,
• Architecture, scaling & micro-services,
• Signal modelling and data representation.

Key Responsibilities

These are the core responsibilities of the role:

• Design, integrate, and operate graph‑oriented databases for advanced relational analysis.
• Ensure code quality through thorough testing and participate in code reviews.
• Monitor micro‑service performance and provide timely improvements and bug fixes.
• Work closely with the product owner to understand customer needs and contribute to the product roadmap.
• Optimize algorithms and services to ensure high performance, scalability, and consistent reliability.

Each position will also be specialized in one of the topics, depending on experience:

• Designing and modeling signals into expressive and efficient data structures.
• Building and scaling backend microservices and distributed architecture to support the engine in production.
• Designing and implementing analytical frameworks and decision systems to apply rules and detect fraudulent patterns across data structures.

Preferred Experience

You are a curious and rigorous Python developer with a passion for building reliable and impactful systems. You are comfortable working in a complex, data-intensive environment and enjoy collaborating closely with engineers, researchers, and product owners within the AI & ML team. You bring a strong engineering mindset and are eager to contribute to a critical fraud detection engine at scale.

• Bachelor's or master's degree in computer science, Software Engineering, or related field.
• Strong Python development skills with a focus on building production-grade services, with at least 5 years as a Python Developer, with a strong focus on building scalable and high‑performance applications.
• Experience with REST API design and development (OpenAPI/Swagger).
• Good knowledge of Microservices architecture principles and patterns.
• Experience with Graph databases and query languages