Federal IT and engineering consulting with identity and zero-trust security focus
Xcel Engineering is a 51–200-person federal contractor built on identity infrastructure (SailPoint, Workday, Azure Entra ID, LDAP, SAML/OAuth) and AWS cloud services. Current project velocity—zero trust architecture, IAM workflow automation, Kubernetes cluster hardening, and Cilium CNI—alongside active adoption of NIST standards shows a shift toward compliance-first, defense-in-depth infrastructure. Senior-weighted hiring in engineering and security (4 of 7 open roles) suggests they're scaling internal capability rather than staffing project delivery.
Xcel Engineering provides IT solutions, engineering consulting, and project management to U.S. federal agencies. The company was founded in 1971 by University of Tennessee engineers, acquired by Army and Navy veterans in 2003, and became part of MartinFed in 2023. Service lines span application development, high-performance computing, systems integration, cybersecurity, network infrastructure, and engineering disciplines including environmental assessment, LEED design, and construction management. Headquarters in Oak Ridge, Tennessee.
Identity and access: SAP SuccessFactors, SailPoint IdentityIQ, Azure Entra ID, Workday, LDAP, SAML, OAuth 2.0. Cloud: AWS (Lambda, Step Functions, SQS, SNS, RDS, CodeBuild, CodeDeploy). Orchestration: Docker, Kubernetes, Terraform. Development: Python, Java, JavaScript, Node.js, ServiceNow.
Zero trust architecture, IAM workflow automation, CI/CD pipelines for IAM configs, on-premises Kubernetes clusters, Cilium CNI implementation, and cluster security hardening. Heavy focus on identity automation and compliance.
Xcel Engineering'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.