Federal systems engineering and cybersecurity for mission-critical defense infrastructure
WOOD Federal Solutions is a 51–200-person federal contractor specializing in systems engineering, cybersecurity, and IT modernization for U.S. government agencies and defense primes. The tech stack—Java, Python, Oracle, TensorFlow/PyTorch, alongside Cisco and zero-trust network tooling—reflects deep legacy integration work paired with emerging AI/ML capability. Current hiring is engineering-heavy (26 of 34 open roles) at senior levels (19 of 34), signaling aggressive scaling of systems architects and software engineers to support large-scale software-hardware integration and defense NLP/ML solutions.
WOOD Federal Solutions delivers engineering, cybersecurity, IT modernization, and mission support to federal customers operating in high-assurance, regulated environments. Founded in 1997, the company works on systems engineering, secure infrastructure, program execution, and mission-critical operations for U.S. government agencies and prime contractors. Active projects include large-scale software-hardware integration, legacy data ingestion and database parser development, network model design for emerging technologies, and NLP/ML solutions for defense artifact analysis. The organization operates under disciplined processes and traceability practices required for mission-critical systems; current operational challenges center on maintaining database integrity, supporting legacy system transitions, managing complex network infrastructure, and extracting intelligence from defense artifacts in distributed environments.
Java, Python, Spring Boot, Oracle, SQL, TensorFlow, PyTorch, R, Cisco networking, C/C++, JavaScript, Angular, and PDF/document processing tools (Apache Tika, PDFMiner). Emphasis on both traditional enterprise platforms and modern AI/ML frameworks.
Annapolis Junction, Maryland. The company was founded in 1997 and is privately held with 51–200 employees.
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