Financial and tax accounting software for asset-intensive industries
PowerPlan builds financial, tax and asset accounting software for utilities, energy, telecom and rail operators. Its stack pairs a legacy .NET, Java and Oracle/SQL Server core with Databricks, Delta Lake, Kubernetes and Terraform, which points to an active modernization toward cloud-native delivery. Senior-weighted engineering hiring, a PMO Director search and a Certinia PSA rollout suggest delivery operations are being formalized alongside that modernization.
Notable leadership hires: PMO Director
PowerPlan, Inc. develops software that helps asset-intensive companies manage the financial side of their assets, with a focus on accounting and tax. Its customers include utilities, energy, telecommunications and rail businesses, and the product is aimed mainly at finance leadership. The company was founded in 1994, is headquartered in Atlanta, Georgia, and has 201–500 employees. It operates as an independent subsidiary of Roper Technologies.
PowerPlan's stack includes .NET Core, Angular, Java, Oracle, SQL Server, Databricks with Apache Spark and Delta Lake, Azure and AWS. It runs Kubernetes, Helm and Terraform, with Prometheus, Grafana and Coralogix for monitoring.
PowerPlan is implementing Certinia PSA as a system of record and modernizing its tax and accounting workflows. It is also building cloud-native, containerized deployments and Terraform-based security automation.
PowerPlan is headquartered in Atlanta, Georgia, and currently hires in the United States. Its hiring leans toward senior engineering roles, with additional openings in operations, product, sales and security.
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PowerPlan, Inc.'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.