Digital Technology International builds content, advertising and circulation software for news publishers, plus a healthcare IT line focused on health records. Its stack splits between a Microsoft core (.NET, Azure, SQL Server) and a GCP data layer (BigQuery, Databricks, Kafka, Gemini API), while Salesforce work is moving from Visualforce to Lightning. Senior-heavy, accelerating engineering and security hiring targets legacy modernization and technical debt.
Digital Technology International is a privately held software company founded in 1981 and headquartered in Bloomington, MN, with 201–500 employees. It serves the global news media industry with tools for audience engagement, targeted advertising and multi-channel publishing across web, print, mobile and social, delivered on-premise or through its cloud offering. A separate healthcare IT business, DTI Health, provides software for electronic and personal health records, clinical information and instrument data. The company maintains offices across North America, Europe, Latin America and Australia, and is currently hiring in the United States and Canada.
DTI runs .NET, React, Azure (App Service, Functions, DevOps) and SQL Server, alongside GCP services like BigQuery, Cloud Run and AlloyDB, plus Databricks, Kafka, Kubernetes, Terraform and Salesforce.
Yes. Hiring is accelerating and led by engineering, with security, product and support roles too. Most openings are senior-level, in the United States and Canada.
Current projects include modernizing a licensing platform, AI integration initiatives, API-first and event-driven integration services, Databricks-based AI/ML data pipelines and a Salesforce digital experience sites migration.
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Digital Technology International'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.
