Cyber operations, analysis and AI engineering for the US federal government
NetSage is an Annapolis-based federal cyber contractor whose stack spans x86 Assembly, C++ and Rust alongside OpenAI, AWS Bedrock, Hugging Face and RAG, pairing low-level offensive tooling with LLM work. Project signals center on fine-tuning and orchestrating LLMs inside secure enclaves, and a security-led, senior-heavy hiring mix points to experienced cleared operators rather than junior scale-up.
NetSage is a privately held small business headquartered in Annapolis, Maryland, providing cyber services to US Federal Government customers. Its capability areas cover offensive and defensive cybersecurity, software development, analysis and data science, infrastructure, and cyber training. The workforce of 51–200 employees includes many veterans and former government civilians. Its infrastructure work runs on AWS, Kubernetes, Terraform and Ansible, and its data work uses Kafka, Apache NiFi, Spark and Elasticsearch. All hiring is in the United States.
NetSage uses AWS, Kubernetes, Terraform, Ansible, Python, Rust, C++, x86 Assembly, Java, React, Kafka, Apache NiFi, Spark, Elasticsearch, Kibana, GitLab, plus OpenAI, AWS Bedrock and Hugging Face for AI work.
Yes. Security is NetSage's largest hiring area, followed by engineering and data, with demand skewed toward senior and principal-level roles, all based in the United States.
Job posts point to LLM fine-tuning for identification and mitigation, an LLM orchestration framework, AI tools deployed in secure enclaves, AI-enabled cyber operations capabilities, and automation of analytical tradecraft.
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NetSage'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.