Easygo operates a portfolio of entertainment brands (online casino, sportsbook, live-streaming platform, game studio) from Melbourne, serving millions of users globally. The tech stack is JavaScript-heavy frontend (React, Next.js, Vue, Svelte) with Go and PHP backends, running on AWS Kubernetes—a shape typical of high-traffic consumer platforms. Active hiring skews toward senior engineering (23 roles) while simultaneously building cybersecurity from scratch and addressing performance bottlenecks at scale, revealing an organization scaling both headcount and operational maturity in parallel.
Easygo is a private Australian technology company headquartered in Melbourne that owns and operates multiple online entertainment brands. The portfolio spans an online casino and sportsbook (Stake), a live-streaming platform (Kick), and an in-house game design studio (Twist Gaming) producing slot and table games. The company employs 400+ staff across tech, marketing, operations, mathematics, and design disciplines. Operations span Australia, Serbia, and Peru, with infrastructure running on AWS and Kubernetes. The organization is actively hiring, with accelerating velocity across 45 open roles.
Frontend: React, Next.js, Vue, Svelte, SvelteKit, TypeScript, GraphQL. Backend: Go, Node.js, PHP. Infrastructure: AWS (EKS, RDS, IAM), Kubernetes, Terraform, ArgoCD. Monitoring: Datadog, Prometheus. Also iOS and Android mobile development.
Current projects include a high-volume live chat messaging system, mobile application design, backend load optimization, automated reporting, security monitoring infrastructure, and cybersecurity function build-out. Performance scalability and high-traffic handling are active focus areas.
Easygo'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.