GameTech operator across 20 markets with sports betting and gaming platforms
Kaizen Gaming operates Betano, a multi-market online sports and gaming brand, serving millions of customers across Europe, the Americas, and Africa. The tech stack reveals a maturing enterprise architecture: .NET / SQL Server / Azure backbone paired with modern analytics (Spark, Databricks, Looker, GA4) and orchestration (OpenShift, RabbitMQ), with active work on behavioral monitoring and responsible-gaming tooling. Hiring velocity is accelerating across engineering and data, concentrated in geographies where market expansion and regulatory compliance present the sharpest pain points (Brazil, Greece, Portugal).
Notable leadership hires: Agile Delivery Lead
Kaizen Gaming is a publicly listed GameTech company operating 20+ online gaming and sports betting markets across four continents under the Betano premium brand. The company employs over 3,000 professionals and serves millions of players globally. Core operations span customer-facing web and mobile platforms, backend services infrastructure, and a growing analytics and experimentation capability. Active challenges include scaling to high-traffic volumes, managing multi-jurisdiction compliance (particularly Brazil), and coordinating distributed teams across six hiring countries while implementing responsible-gaming controls.
C#, ASP.NET, .NET Core, Vue, Angular on the frontend; SQL Server, Redis, Elasticsearch, RabbitMQ for data and messaging; Azure and AWS for cloud; Apache Spark, Databricks, MLflow, Kubeflow for analytics and ML; OpenShift for orchestration; Tableau, Looker, Power BI for BI.
Kaizen Gaming operates across 20 markets spanning four continents. The company actively hires in Greece, Brazil, Portugal, Argentina, Malta, and Romania, with particular focus on Brazil for compliance and market expansion work.
Kaizen Gaming's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.