IT staffing and ERP consulting for Fortune 500 and mid-market enterprises
Conexess Group places specialized technical talent and delivers ERP consulting—primarily SAP implementations—to large enterprises. The company is actively adopting SAP S/4HANA, SAP BTP, and Salesforce while maintaining deep expertise across Azure, AWS, and GCP. Heavy engineering hiring (35 of 66 open roles) paired with active projects in fintech, banking system modernization, and network infrastructure suggests Conexess is scaling its own delivery bench, not just placement services.
Conexess Group is a staffing and consulting firm founded in 2009, headquartered in Nashville, Tennessee, with 201–500 employees. The company serves Fortune 500 and mid-market clients through two primary service lines: IT staff augmentation (placing consultants in specialized roles across infrastructure, application development, database management, and security) and ERP consulting (primarily SAP implementation and Workday deployment). The firm combines technology stack expertise—Azure, AWS, GCP, Kubernetes, SAP, Oracle, ServiceNow—with direct recruitment of specialized technical talent. Conexess operates in the United States and Canada.
Conexess uses Azure (VMs, Kubernetes Service, App Service, Storage), AWS, GCP, Kubernetes, and SAP suite (S/4HANA, BTP, Ariba, PO). Monitoring tools include Datadog and Honeycomb; deployment via Argo CD and LaunchDarkly. Currently adopting Salesforce, Microsoft Viva, and Microsoft Purview.
Active projects include banking application development, fintech services (ACH, wire transfers), EHS domain solution design, network modernization and migration planning, capacity risk forecasting, and employee data integration platforms.
Conexess 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.