Python Developer (Antifraud)

Location: Worldwide Workplace: remote We are looking for a Senior Backend Developer to build and develop a high-load anti-fraud service. You will work on fraud detection mechanisms, risk profiles, event-driven data processing, and integrations with external services.RequirementsPython & Backend Development: At least 4 years of commercial development experience, with strong production experience building and operating high-load backend services in Python.Databases: Strong experience with PostgreSQL, including database design and query optimisation for reliable and performant backend systems. Experience with ClickHouse will be an advantage.Event-Driven Systems: Experience with Kafka and building aggregated state and read models from event streams, including deriving entity attributes from events, enriching them with external data, and maintaining consistency.Integrations: Experience designing and supporting integrations with external services to ensure reliable data exchange between systems.Architecture & Development Environment: Understanding of modern backend architecture and CI/CD processes, with confident use of Docker, Git, and Linux. Experience with DDD, CQRS, or GitLab CI/CD will be an advantage.Code Quality: Experience with unit, functional, and end-to-end testing to build stable, maintainable applications and minimise regressions.AI & Modern Technologies: Practical experience using AI-powered development tools to improve engineering productivity and development workflows.ResponsibilitiesDevelop and support the anti-fraud backend service to ensure stable operation under high load and support the development of fraud prevention capabilities.Implement fraud detection and scoring rules together with the anti-fraud team to identify and evaluate suspicious activity across different fraud scenarios.Build and own the risk-profile context: aggregate entity attributes from event streams, enrich them with data from external services, and maintain consistent and queryable risk profiles.Design and maintain integrations with external services to provide reliable data exchange and the information required for anti-fraud decision-making.Design and optimise data storage and backend components, including relational and non-relational databases, while monitoring performance, troubleshooting production issues, and improving system reliability.Continuously improve backend solutions and development workflows, maintaining code quality through testing and using AI-powered tools to increase development efficiency.We offerHigh salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.