Defense and intelligence contractor modernizing legacy systems and zero-trust infrastructure
Swift Group serves the civilian, defense, and intelligence community with services spanning infrastructure modernization, security accreditation, and data platforms. The tech stack reveals a dual focus: CAD/CAM tooling (AutoCAD, Solidworks) alongside cloud-native DevOps (Kubernetes, Terraform, AWS, Jenkins), paired with reverse-engineering and debugging tools (IDA Pro, Ghidra, WinDbg) — indicating work across both physical systems design and embedded/binary security analysis. Active hiring is weighted heavily toward engineering and security roles, with a senior-skewed candidate pool, while projects cluster around zero-trust frameworks, RMF accreditation, and modernizing legacy data environments — all typical of government contractor modernization mandates.
The Swift Group is a privately held services company headquartered in Herndon, Virginia, founded in 2019. It serves federal civilian, defense, and intelligence agencies with a portfolio spanning infrastructure design, cloud migration, security accreditation, and data platform modernization. The company operates across two technical domains: systems engineering (network design, edge computing, hardware-software integration) and cloud-native operations (Kubernetes, AWS infrastructure, CI/CD pipelines). Current project focus includes zero-trust identity and authentication platforms, RMF compliance lifecycle automation, large-scale data science platform deployments, and modernization of legacy data environments. The organization has 51–200 employees based in the United States.
Swift uses AWS (EKS, Lambda, EBS), Kubernetes, Terraform, and Jenkins for cloud infrastructure; Python, Go, and Bash for development; Docker and Flux for containerization; and IDA Pro, Ghidra, and WinDbg for reverse engineering and security analysis. Stack spans DevOps, embedded systems, and binary analysis.
Active work includes zero-trust identity and authentication platforms, RMF accreditation lifecycle implementation, large-scale data science platform deployment, legacy data environment modernization, portable edge-computing infrastructure, and REST APIs for content/metadata repositories.
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