Microsoft and Salesforce systems integrator with digital transformation and cybersecurity focus
DivIHN is a 20-year-old systems integrator and consulting firm built around Microsoft (.NET, SQL Server, Azure DevOps) and Salesforce (Sales Cloud, Service Cloud, Apex, Lightning Web Components) platforms. Current hiring is engineering-heavy (7 of 11 open roles in the last 30 days), with a seniority skew toward senior engineers (5 of 11), suggesting delivery-driven projects and potentially stretched internal capacity. Active work spans Salesforce-Marketo marketing automation, medical device cybersecurity hardening, and A/B testing infrastructure—all pointing toward a client base in healthcare and enterprise software.
DivIHN operates as a technology consulting and systems integration firm serving mid-market and enterprise clients since 2002. The company specializes in digital transformation advisory and implementation, enterprise application development on Salesforce and Microsoft stacks, cybersecurity and risk management, M&A IT integration support, and staffing solutions. Core service lines include Salesforce and Microsoft platform implementation, cloud solutions (ServiceNow, Salesforce, Azure), and data and analytics advisory. The company is minority-owned and headquartered in Hoffman Estates, Illinois, with 51–200 employees.
DivIHN primarily works with Microsoft (.NET Framework, C#, SQL Server, Azure DevOps) and Salesforce (Sales Cloud, Service Cloud, Apex, Lightning Web Components) stacks. Also uses Adobe Experience Manager for marketing pages, Marketo for marketing automation, Jira and Asana for project management, and SAP for enterprise systems.
Current projects include building and maintaining marketing pages in Adobe Experience Manager, implementing A/B and multivariate testing, configuring Marketo and Salesforce forms, software quality assurance across multiple ecosystems, and security hardening for a cardiac mapping medical device system.
DivIHN Integration 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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.