Cloud billing platform for enterprise monetization and revenue recognition
BillingPlatform operates a cloud-native billing engine handling high-volume transaction processing for global enterprises. The stack reveals infrastructure maturity: Oracle + PostgreSQL + SQL Server databases, Kubernetes + Istio orchestration, Prometheus + Grafana + Datadog observability, and Kafka for event streaming. Active projects center on revenue recognition (ASC 606), ERP integration, and Kubernetes cluster management—indicating focus on compliance complexity and operational reliability. Current hiring skews senior engineering roles, matching the precision demanded by billing-critical systems.
BillingPlatform delivers cloud-based billing and revenue recognition software to enterprises across software, finance, media, transportation, and communications sectors. The platform processes billions of transactions annually and handles subscription, metered, usage-based, and consumption billing models. The company operates from Englewood, Colorado, with a 201–500 person organization. Engineering and infrastructure investments center on high-availability database systems, containerized deployment, and observability tooling—critical for transaction processing at scale. Current pain points include database performance, support ticket volume, quote-to-cash process efficiency, and ASC 606 revenue compliance.
Oracle, PostgreSQL, SQL Server, AWS, Kubernetes, Kafka, Prometheus, Grafana, Datadog, Istio, Linkerd, and Jaeger. Front-end is React and TypeScript; backend uses Java, Spring, Python, and Go.
Revenue recognition implementation (ASC 606), AWS infrastructure-as-code, Kubernetes cluster management, monitoring and alerting, ERP integration for revenue schedules, and proactive knowledge base improvements.
BillingPlatform'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.