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.
Kubernetes, Gitlab, ELK, Prometheus, Grafana, Alertmanager, Ansible/Terraform, Kafka, NGINX, PostgreSQL, Flux, Helm.
Essential professional experience:
— Hands-on experience with UNIX systems;
— Ability to write pipelines for Continuous delivery/deployment in teams of the full development cycle;
— Good knowledge of container tooling and orchestration technologies (Kubernetes);
— Experience with Ansible and Terraform as with automation tools.
— Practical skills of building CI/CD pipeline(GitlabCI, Flux);
— Skills in operating and maintenance of monitoring and alerting (ELK, Prometheus, Grafana, Alertmanager);
— Knowledge of HELM;
— Knowledge of Python.
Desirable skills and personal features:
— Experience in administration Kafka;
— Experience with AWS (ELB, EKS, EC2, IAM, S3);
— Experience with large databases maintenance (Mysql/Postgresql/etc)
— Technical English.