Northeast IT solutions provider for cloud, virtual desktop, and security
Gotham Technology Group is a Montvale, NJ IT services firm whose job posts center on moving clients off Citrix Virtual Apps and Desktops onto Azure Virtual Desktop and Citrix DaaS. The stack leans heavily AWS serverless (Lambda, Fargate, SAM, Terraform), while Microsoft Sentinel adoption and plans to bring an outsourced SOC in-house point to a growing security practice. Hiring is accelerating and senior-heavy, dominated by engineering.
Notable leadership hires: Global Client Director
Gotham Technology Group, founded in 2001 and privately held, provides IT consulting, infrastructure, and managed services from its Montvale, New Jersey headquarters. It runs sales offices in Connecticut, New Jersey, and New York City, primarily serving organizations across the Northeastern United States while delivering work globally. Service lines span virtualization, end user computing, cybersecurity, cloud services, collaboration, application development, and technical staff augmentation. The company employs 51–200 people and hires in the United States and Canada.
Gotham works across AWS (Lambda, API Gateway, Fargate, DynamoDB, RDS), Terraform, CloudFormation, Python, Node.js, Java, Spring Boot, .NET/C#, Angular, Kubernetes, Docker, and Dynatrace with OpenTelemetry.
Yes. Job posts describe migrating Citrix Virtual Apps and Desktops environments to Azure Virtual Desktop and Citrix DaaS, with PowerShell automation of virtual desktop operations.
Gotham is headquartered in Montvale, New Jersey, with sales offices in Connecticut, New Jersey, and New York City, and hires in the United States and Canada.
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Gotham Technology Group'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.