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.
To apply to the (same) position based in Munich, Germany, 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

• 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 (Neo4j, Neptune, Cypher, Gremlin).
• Containerization with Docker.
• Strong problem-solving and analytical mindset.
• Ability to work collaboratively in a cross-functional team.
• Rigor, service orientation, and product mindset.
• Curiosity, appetite for technical challenges, and continuous learning.

Strong plus 

• Experience with fraud detection algorithms, machine learning, and artificial intelligence.
• Graph Machine Learning (GraphSAGE, Node2Vec, GNN, PyG).
• GenAI and LLM-assisted analysis, rule generation, and anomaly explanation.

Nice to have

• Message queues and asynchronous communication (Kafka, RabbitMQ).
• Experience with C++ development.
• Unsupervised learning for unknown fraud pattern discovery.
• CI/CD pipelines (GitHub Actions, AWS CodePipeline).
• Unit, integration, and load testing.
• Kubernetes for container orchestration.
• Performance profiling and observability tools (Grafana, CloudWatch).

Perks & Benefits

• Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions.
• We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification.
• We make your remote work comfy: we provide support on equipment and offer flexible working hours.
• We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work.
• May your family require your attention or other reasons apply: use the benefit of our paid special leave days.
• Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities.
• In addition to the perks & benefits above, we offer specific benefits that differ between our locations.

IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: sex, race or ethnic origin, religion or convictions, gender identity, citizenship, marital status, disability, age, or sexual orientation.