Cybersecurity solutions and custom software for U.S. government agencies
Def-Logix builds security systems and custom software for federal buyers, with deep roots in Department of Defense and Department of Homeland Security work. The tech stack—Python, Java, C++, TensorFlow, PyTorch, plus DevSecOps tooling (Jenkins, GitLab, SonarQube)—reflects an engineering org shifting toward AI/ML integration within government-grade security constraints. Current hiring is heavily senior-engineer focused, with active projects around ML model development for government systems and DevSecOps pipelines, suggesting they're scaling capability in this specialized area.
Def-Logix is a 51–200 person public company headquartered in San Antonio, Texas, founded in 2008. They deliver cybersecurity solutions, custom software development, and information assurance services to U.S. federal agencies and commercial clients. Core competencies span network security architecture, penetration testing, forensics, intrusion detection, and insider threat prevention. The company holds ISO 9001:2015 certification and has established track records with the Air Force, Department of Defense, and Department of Homeland Security. Current work includes AI/ML model development and DevSecOps integration, with compliance and security accreditation as ongoing operational constraints.
Primary languages: Python, Java, C++, JavaScript. Data/ML: TensorFlow, PyTorch, scikit-learn, SQL. DevOps/Security: Jenkins, GitLab, SonarQube, Kubernetes. Network tools: Wireshark, SolarWinds, Cisco Packet Tracer. Infrastructure: AWS, PostgreSQL, Red Hat Enterprise Linux.
Active projects: AI/ML model development for government systems, DevSecOps integration for AI/ML solutions, and training program development. Work is focused on federal compliance and security accreditation requirements.
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