IT transformation consultancy for cloud, data streaming and AI modernization
Radiant Digital is a Vienna, Virginia IT consultancy whose delivery stack spans Azure, AWS and VMware alongside a deep Kafka/Confluent streaming toolkit, pointing to event-driven data work rather than generic staffing. Accelerating, senior-weighted, engineering-led hiring lines up with project demand for LLM architecture, RAG builds and AI-ready pipelines, while federal interoperability mandates signal public-sector exposure.
Notable leadership hires: IT Services Director
Radiant Digital is a privately held IT services firm founded in 2000 and headquartered in Vienna, Virginia, with 201–500 employees. It offers IT transformation, application transformation, workforce transformation, project management and software implementation consulting. Engagements cover infrastructure modernization, cloud adoption and legacy application upgrades. Its delivery tooling includes Azure, AWS, Kubernetes, Terraform, Kafka, Splunk and endpoint management tools such as Jamf and Configuration Manager. The company hires across the United States, India and Singapore.
Radiant Digital works with Azure, AWS, VMware, Kubernetes, Terraform, Docker, Kafka and Confluent, PostgreSQL, Java, Spring Boot, React, Python, plus Splunk, Prometheus and Grafana for monitoring.
Current work includes data center and cloud migrations, LLM-enabled architecture, RAG solutions, AI-ready data pipelines, SASE/SSE implementation and cybersecurity remediation.
Radiant Digital, headquartered in Vienna, Virginia, hires in the United States, India and Singapore, with engineering the largest focus and a senior-leaning seniority mix.
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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.