RFID table-game and casino-cage operations platform
Walker Digital Table Systems supplies RFID-enabled gaming hardware and software to casinos across North America and Asia Pacific. The tech stack reveals a mature, operationally-focused engineering org: Java + Spring Boot + PostgreSQL for core systems, Kafka for event streaming, Kubernetes for orchestration, and NetSuite for financial control. Active hiring is concentrated in support (4 roles) and engineering (3 roles) with a VP-level leadership gap, suggesting scaling pains around incident prioritization and cross-functional escalation — consistent with pain-point data showing recurring go-live issues and regulatory compliance friction.
WDTS designs and deploys RFID-based table-game solutions (Perfect Pay, Perfect Table, Perfect Cage) that automate chip tracking, player data capture, and casino cage operations. The product runs on proprietary Phase Jitter Modulation (PJM) RFID technology, protected by over 70 patents and established as the only RFID standard capable of handling high-volume casino environments. The company operates across North America and Asia Pacific, with installations at gaming facilities and cage operations. Internal workload centers on complex multi-environment deployments, demo-room support, and parallel go-live orchestration for strategic accounts.
Java, Spring Boot, PostgreSQL, Apache Kafka, Kubernetes, Docker, Jenkins, NetSuite. Front-end tooling includes Figma, Balsamiq. Deployment runs on Red Hat, Rocky Linux, VMware, Nutanix infrastructure.
Deploying internal labs and vendor test environments, supporting demo-room operations, executing complex deployments and parallel go-live builds for strategic casino accounts.
Walker Digital Table Systems, LLC'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.