Bespoke trading and sportsbook platform for global betting operators
Amelco builds end-to-end sportsbook and trading systems for tier-one gambling operators. The stack—Python, Java, Spring Boot, Kafka, PostgreSQL, Kubernetes on AWS—is standard for high-throughput financial services, but the project and pain-point data reveal a company in the midst of a reliability and observability overhaul: CDC pipeline stability, chaos engineering, and unified observability are active work streams, suggesting they've hit scaling limits with legacy monitoring approaches and are investing heavily to move from incident-reactive to reliability-proactive.
Amelco, founded in 2006 by financial-sector veterans, designs custom sportsbook and trading platforms for major global betting brands. The company operates across London, Poland, and Hungary with a 51–200-person team focused on modular, end-to-end solutions. Core technical work spans real-time betting engines, payments integration, and casino platform modules, underpinned by a mature infrastructure stack (Kubernetes, Terraform, Prometheus, Grafana, Loki). Current hiring emphasizes senior engineering and platform stability roles, with nine open positions concentrated in engineering, support, and data disciplines.
Python, Java, Spring Boot, React, Kafka, PostgreSQL, MySQL, Redis, Kubernetes, AWS EKS, Terraform, Ansible, Prometheus, Grafana, Loki, and Tempo. Infrastructure runs on AWS with GitOps and Docker containerization.
Operational automation, CDC pipeline reliability, unified observability implementation, production reliability improvement, chaos engineering experiments, payments platform enhancements, and casino integrations.
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Amelco Limited'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 →
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