Curtis A. DeVries

Curtis A. DeVries serves as a Systems Engineer responsible for defining technical requirements and evaluating acquisition solutions to support mission-critical government systems. In this capacity, he plays a pivotal role in bridging engineering expertise with procurement strategy, ensuring that acquisitions align with operational needs and technical standards. His work typically involves complex procurements for communications infrastructure, data processing platforms, and applied research services, where he collaborates closely with program managers and technical stakeholders to develop statements of work, evaluate proposals, and validate vendor capabilities against performance metrics. While no specific contractor relationships are identified in available data, DeVries engages with a diverse range of vendors capable of delivering high-performance communications equipment, cloud-based computing infrastructure, and engineering R&D services. His procurement approach emphasizes technical rigor and solution fidelity, favoring vendors with proven expertise in system integration, cybersecurity compliance, and scalable service delivery models. He maintains a vendor-agnostic stance, prioritizing capability over brand, and fosters collaborative relationships with both established contractors and agile technology providers. DeVries’s contracting patterns show a strong preference for open competition, with 100% of his acquisitions classified as “No Set-Aside.” This reflects a focus on technical merit and performance-based outcomes rather than socioeconomic categorization, though it does not preclude small business participation when they demonstrate competitive technical capability. His primary procurement focus lies in NAICS 334290 (Other Communications Equipment Manufacturing), 518210 (Computing Infrastructure Providers), and 541712 (R&D in Physical and Engineering Sciences). He specializes in procuring advanced radio frequency systems, secure data centers, and applied engineering research services, demonstrating deep domain knowledge in telecommunications architecture, cloud-native environments, and experimental systems development.