IT and engineering staffing plus systems integration for government and industry
PlanIT Group places technical talent and runs integration work for commercial and government clients, with a stack spanning Azure/.NET web apps and legacy mainframe (z/OS, COBOL, CICS, RACF). Hiring is accelerating and skews toward engineering, manufacturing, ops and logistics, and the project list points to SAP ERP-to-Teamcenter PLM integration and INDOPACOM network delivery, which suggests defense-manufacturing program support. Microsoft Fabric is the one tool being adopted.
PlanIT Group, LLC is a privately held IT and engineering professional services firm headquartered in Austin, TX, founded in 2010, with 51–200 employees. It supplies skilled professionals to commercial and government customers and also delivers systems and IT infrastructure integration, so it can staff a project and manage the implementation. Its focus areas include enterprise systems, network infrastructure, information assurance, cybersecurity, healthcare IT, and technology and business consulting. Hiring is concentrated in the United States.
PlanIT Group's stack includes Azure, .NET, C#, ASP.NET MVC, Angular, SQL Server and Azure DevOps, plus mainframe tools such as z/OS, COBOL, CICS and RACF. It also uses Jira, Jenkins, Kafka, Jamf and Teamcenter.
Projects include SAP ERP to Teamcenter PLM integration, a centralized data warehouse, standard reports and dashboards, program integrated master scheduling, and INDOPACOM AOR network capability delivery.
PlanIT Group is headquartered in Austin, TX. It was founded in 2010, has 51–200 employees, and hires in the United States.
Other companies in the same industry, closest in size
PlanIT Group, 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.