DoD modernization and cloud infrastructure services for federal missions
INflow Federal runs a defense-focused systems integrator with deep roots in DoD networks and mission operations. The stack reveals a hybrid enterprise: SharePoint/SQL Server for legacy federal infrastructure, paired with Kubernetes/OpenShift/AWS GovCloud for cloud-native workloads. Active projects span distributed image processing, CI/CD pipeline hardening, and data migration from legacy to cloud—a pattern consistent with federal modernization mandates. The engineering-heavy hiring mix (9 of 11 open roles) skews mid-level, suggesting execution velocity matters more than architect density for their current work.
INflow Federal was founded in 2013 as a Small Disadvantaged Business (SDB) serving the U.S. military across network modernization, cybersecurity, digital transformation, and joint force operations. The company operates in over 20 domestic states with direct relationships to the U.S. Navy, Marine Corps, National Reconnaissance Office, and broader Joint Forces. Veterans represent over 50% of the workforce, reflecting a deliberate hiring and culture program. The business model combines traditional federal IT services—enterprise architecture, infrastructure, identity management—with emerging capabilities in cloud platforms (AWS GovCloud), containerization, and automation. Core pain points center on legacy system modernization, data pipeline security, and test automation across distributed systems.
Mix of enterprise legacy (SharePoint Server, SQL Server, Active Directory) and cloud-native (Kubernetes, OpenShift, AWS GovCloud, GitLab CI/CD, Docker). Also uses Elastic Stack, PostgreSQL, RabbitMQ, and Red Hat Enterprise Linux for services.
Active projects include DoD modernization initiatives, distributed image processing, AWS GovCloud infrastructure automation, legacy-to-cloud data migration, CI/CD pipeline hardening, and case management system modernization for federal clients.
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INflow Federal'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.