Our product is a fraud-detection platform, specially designed for the betting business.
We started 2 years ago with a team created from scratch, dedicated processes and technology stack. Currently, we process, store and analyze over a billion events per day using ML and graph algorithms in real-time. We are going to reach two billion events during six to nine months adding more and more detailed data sources.
Unlike the majority of fraud-detection products available on the market, we are not wasting time on no-code/low-code and other marketing staff, focusing on our algorithms and business results instead.
You will have a direct impact on:
— High-load system;
— Data collection process;
— Real-time prediction;
— Fraud detection system.
Essential professional experience:
— 4+ years of experience in software development with Python;
— 2+ years of experience working with either a MapReduce or an MPP system;
— Product experience with AsyncIO;
— Experience in building ETL distributed systems;
— Experience with non-relational databases Redis;
— Experience with relational databases PostgreSQL;
— Experience working on Linux, Kubernetes, Docker;
— Experience in cloud solutions (AWS);
— Experience with applications performance tuning;
— Understanding of queueing mechanisms (Kafka, RabbitMQ).
Desirable skills and personal features:
— Experience in building data pipelines in private clouds;
— Willingness to learn new things and the pursuit of constant improvement.