As an experienced Python Developer, you will join our agile/scrum team responsible for developing and integrating fraud detection algorithms into our micro-services infrastructure.
Your primary focus will be on leveraging your strong Python skills to integrate and optimize the fraud detection algorithms developed by our Research team. You will work closely with Data Scientists, Software Engineers, and Product Owners to ensure seamless integration and scalability of our fraud detection services.
Design, develop, and maintain Python micro-services that form the backbone of our fraud detection platform
Optimize algorithms and services for high performance, scalability, and reliability
Ensure code quality through thorough testing and participate in code reviews
Monitor the performance of micro-services and provide timely improvements and bug fixes
Work closely with the Product Owner to understand customer requirements and contribute to the product roadmap
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
Proven experience as a Python Developer for at least 5 years, and as technical lead/staff engineer for at least 2 years, with a focus on building scalable and efficient applications
Strong understanding of data structures, algorithms, and object-oriented design principles
Familiarity with micro-services architecture
Experience with containerization using Docker
Good knowledge of Agile/ Scrum framework
Good skills of documentation
Solid knowledge of version control systems, such as Git
Excellent problem-solving skills and ability to think critically
Strong communication skills and a team player mindset
Experience with fraud detection algorithms and machine learning concepts is a significant plus but not mandatory
Up to 2-days of remote working per week
Flexible work time with a core hours system
20 additional days of workation: Work remotely from anywhere in France
12 days of additional days-off
Access to an e-learning platform
Health insurance
50% reimbursement of public transportation subscription
Bonus for green mobility
Lunch allowance of 8€ per day, reimbursed 60%
The opportunity to participate in the development of innovative products that impact the public across Europe.
First call with the Talent Acquisition Specialist (30 min - video call)
Second interview with the Hiring Manager and someone from the team (1h - video call)
Use case to prepare at home (1 week)
Technical interview based on your work with the Hiring Manager and someone from the team (2h - on-site is preferred)
Final interview with the Department Director (1h - video call)
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.
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