Custom software and HPC engineering for research and government programs
Cadre5 is a Knoxville custom software firm whose current work centers on high-performance computing and research-lab tooling. Its stack pairs .NET and Vue/FastAPI app development with RKE2 Kubernetes, Lustre and Spectrum Scale storage, and Nagios/Grafana monitoring. Accelerating, senior-heavy engineering hiring plus RMF compliance needs point to scaling supercomputer operations and AI-enabled technology transfer systems.
Cadre5 is a privately held technology and design firm founded in 1999 and headquartered in Knoxville, Tennessee, with 51–200 employees. It builds custom software, web and mobile applications, UI/UX design, and geospatial solutions, and integrates new systems with existing software and hardware. Its work spans application development in C#, .NET, Python, React and Vue alongside infrastructure engineering on Red Hat Enterprise Linux, Kubernetes and parallel file systems. Current engagements include HPC services, program management systems, and technology transfer and commercialization tools. Hiring is concentrated in the United States.
Cadre5 uses C#, .NET, SQL Server, Python, FastAPI, React, Vue with Vuetify and Pinia, PostgreSQL, GraphQL, Kubernetes on RKE2, GitLab, Jenkins, Ansible, Puppet, Grafana, Nagios, Lustre and Spectrum Scale.
Projects include the American Science Cloud initiative, the G2 program management system, the OLCF Slate service, supercomputer reliability, and AI-enabled tools for technology transfer and commercialization.
Yes. Hiring is accelerating and focused almost entirely on engineering, mostly senior-level, with some security work, all in the United States.
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Cadre5'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.