IT transformation and legacy modernization for enterprise clients
Radiant Digital is a 20-year-old IT consulting firm shifting toward cloud-native delivery. The tech stack reveals a hybrid enterprise: deep SAP/Oracle/Unix roots alongside active Kubernetes, Docker, and AWS adoption, with Jenkins and Rancher being replaced in CI/CD. Aggressive engineering-heavy hiring (13 of 19 open roles) paired with documented pain around scaling cloud pipelines and modernizing legacy infrastructure suggests they're building internal capability to execute the transformation work they sell.
Radiant Digital provides IT transformation, application modernization, and project management consulting to mid-market and enterprise clients. The company serves clients modernizing legacy systems, adopting cloud platforms (AWS, GCP, Azure), and executing complex infrastructure and application transformation initiatives. Based in Vienna, Virginia, the firm operates across North America, India, and Singapore. Service lines include IT project management, cloud migration, application transformation, and infrastructure strategy — with recent focus on Kubernetes-based container platforms, SAP S/4HANA implementations, and CI/CD automation.
AWS and GCP are in active use; Azure Kubernetes Service is being adopted. The stack includes AWS EKS, Kubernetes, Docker, and Terraform for infrastructure orchestration and container deployment.
Top projects include enterprise application modernization, SAP S/4 implementation, Kubernetes CaaS platform development, automated CI/CD pipelines for Docker, and observability platforms. Regulatory and external reporting transformation are also underway.
Radiant Digital'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.