Veteran-owned engineering contractor for intelligence-community IT and cloud
Shield Consulting Solutions is a veteran-owned government contractor whose job posts point to intelligence-community work, including modernizing NSA authoring and dissemination tools. Its stack pairs AWS (Lambda, Glue, WorkSpaces) with Kubernetes, Helm, Ansible and Salt, and it is moving off NetApp storage, consistent with data center migration and cloud transition pressures. Hiring skews heavily toward senior engineers, though velocity is slowing.
Notable leadership hires: Software Lead
Shield Consulting Solutions, Inc. is a privately held, veteran-owned small government contractor founded in 2002 and headquartered in Columbia, Maryland. The company employs 51–200 people and hires in the United States. Its service lines cover systems, software, security, database and test engineering, plus configuration management, systems administration, help desk support and technical writing. Current work includes mission analytics, security authorization automation and modernization of mission tooling for federal clients.
Its stack includes AWS (Lambda, Glue, Route 53, WorkSpaces, CloudWatch), Python with Django and Flask, Java, Kubernetes, Docker, Podman, Helm, Ansible, Salt, PostgreSQL, MongoDB, Splunk, Prometheus, Grafana and GitLab.
Yes. Engineering dominates its open roles, mostly at senior level, with a Software Lead among leadership openings. Hiring is US-only and overall velocity is currently decelerating.
Projects include automating security evaluation and authorization, modernizing NSA authoring and dissemination tools, a collaborative mission analytics platform, the Secure the Enterprise initiative and AI-driven solutions.
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Shield Consulting Solutions, 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.