IT staffing and consulting with infrastructure migration focus
Aptino is a mid-sized IT consulting and staffing firm anchored in infrastructure modernization work—server migrations, data center transitions, CI/CD tooling, and containerization (Docker, Kubernetes, OpenShift). The tech stack reveals deep enterprise integration (ServiceNow, Control-M, Adobe Real-Time CDP) paired with engineering-heavy hiring (6 of 10 recent roles), indicating Aptino is scaling capacity to deliver hands-on infrastructure and automation projects rather than pure staffing placement.
Aptino is an IT staffing and consulting firm based in Irving, Texas, serving enterprise clients on infrastructure modernization, migrations, and automation. The company combines staff augmentation with technology solutions, with active work spanning server migrations, CI/CD pipeline setup, hardware lifecycle management, and quality enhancement. Their tech footprint includes enterprise platforms (ServiceNow, Adobe Campaign, Guidewire), virtualization infrastructure (VMware, Kubernetes, Docker), and scripting/automation tooling (Python, PowerShell, Bash). Aptino operates in the 51–200 employee range and has been hiring across engineering and marketing roles in the United States and Canada.
Aptino uses Adobe Real-Time CDP, ServiceNow, Docker, Kubernetes, OpenShift, Jenkins, Python, SQL Server, .NET Framework, VMware vSphere, and Control-M, among 30+ platforms. They are actively adopting Adobe Campaign and manage complex migrations across cloud and on-premises infrastructure.
Current work includes server migrations, data center migrations, CI/CD and infrastructure-as-code initiatives, automated RF test system development, Adobe Campaign v7-to-v8 platform migration, and IT hardware lifecycle management.
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Aptino, Inc.'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 →
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