We were born digital and ambitious
so technology is at the heart of what we do!
In 2018, and with our People First mentality in mind, we radically transformed our team and adopted Agile methodologies in order to work more autonomously, faster and with increased morale. Now, with over 450 world-class employees, our Tech division is one of the strongest Agile teams in the industry.
Working with some of the most challenging projects and cutting-edge technologies, our teams are shaping our products and the future of our organisation.
Our Stoiximan & Betano platforms
Our infrastructure keeps us live 24/7, handling traffic spikes of more than 65K concurrent customers and providing a seamless customer experience. We employ fully automated and continuously monitored virtualization, while microservices (Redhat’s Openshift) platforms are running our applications.
Our technological stack includes -among others- ElasticSearch, RabbitMQ and REDIS clusters. Cutting-edge techniques on Varnish and Haproxy are extensively used to support the high demand and provide continuous expansion.
Internal Applications
Among our in-house projects is our next-generation Sportsbook platform, which seeks to solve complex mathematical problems and demands advanced engineering skills.
The platform requires an architecture that is able to serve very low latency time thresholds in high load, while being robust with third-party integrations.
Artificial Intelligence and Big Data
Coping with more than 4K transactions/second and a vast amount of historical data, we are deploying real-time AI applications offering personalised features, services automations and anomaly detection. Using Azure Databricks (Spark), Data Lake Gen 2 and Kafka, we are able to stream data from our production environment to Azure and handle the enormous scale of our platform.
EMPLOYEE TESTIMONIALS
Our people are who we are, so we do not compromise on hiring, retaining and developing them, wherever they might be! We have a “work hard-play hard” mindset and if all these sound like you, we would love to meet you.