IT services firm specializing in cloud modernization and data engineering
Raas Infotek is a services-driven IT consulting firm founded in 2010, operating across BFSI, healthcare, retail, and aerospace verticals. The tech stack reveals a Microsoft-first architecture (.NET, C#, ASP.NET Core, Azure) layered with polyglot data infrastructure (Kafka, RabbitMQ, Informatica, Talend, DataStage), and the active hiring is concentrated in senior engineering and data roles—signaling aggressive execution on cloud migration and data pipeline projects rather than broad headcount expansion.
Raas Infotek provides end-to-end IT services, software development, and implementation across global enterprise clients. The company operates as a technical extension for mid-market organizations, with particular depth in BFSI, healthcare, retail, engineering, aerospace, and automotive sectors. Core engagements span cloud adoption (Azure and AWS), microservices architecture, CI/CD automation, and data engineering. The firm also maintains partnerships with niche product vendors to broaden solution scope. Based in Newark, Delaware, with 201–500 employees, the company has retained multi-year customer relationships—a reflection of long-cycle implementation work.
Microsoft-centric: .NET, C#, ASP.NET Core, Azure ecosystem (Functions, Kubernetes Service, Cosmos DB). Data layer: Kafka, RabbitMQ, SQL Server, MongoDB, Informatica PowerCenter, Talend, DataStage. Frontend: React, Angular. DevOps: Docker, Azure DevOps, Kubernetes.
Azure cloud adoption and modernization, microservices and event-driven architecture, CI/CD automation, and data engineering with AI adoption. Primary pain points include cloud migration, scalable data pipelines, and enterprise integrations.
Raas Infotek'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.