System Soft Technologies is a 501–1,000-person IT services company built on infrastructure and data expertise: their tech stack spans geospatial tools (QGIS, ArcGIS, PostGIS), enterprise data platforms (PostgreSQL, BigQuery), virtualization (vSphere, vCenter, NSX), and .NET/C++ development. Active projects reveal a business in transition—migrating SharePoint infrastructure to the cloud, rolling out Oracle Fusion globally, and building data warehouse and AI search capabilities—while replacing point solutions (MuleSoft) and adopting Microsoft Power Platform and OpenTelemetry. Hiring is accelerating with 40 open roles weighted heavily toward engineering and senior-level talent, signaling either a shift toward higher-margin consulting or capacity constraints on delivery.
System Soft Technologies provides IT services, infrastructure consulting, and custom application development to mid-market and enterprise clients. Founded in 1999 and headquartered in Tampa, the company positions itself as an extension of client IT teams, handling everything from managed infrastructure (cloud, virtualization, security, networking) to data engineering, geospatial solutions, and digital transformation initiatives. Their specialties span cloud migration, big data and analytics, mobile and application development, and cybersecurity. The organization operates across the United States, India, and Mexico.
C++, ROS, Python, .NET/ASP.NET Core, PostgreSQL, BigQuery, vSphere/vCenter/NSX, ArcGIS, PostGIS, QGIS, Active Directory, Red Hat. Currently adopting SharePoint Online, Power Platform, and OpenTelemetry.
Major projects include SharePoint Online migration, Oracle Fusion global rollout, data warehouse development, geospatial grid framework solution, AI/Copilot adoption, and data integration strategy. Also addressing legacy system modernization and cloud-to-on-premises integration challenges.
System Soft Technologies'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.