Description SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance. We are seeking a highly motivated Network Engineer in either Bethesda, MD or McLean, VA to join our National Intelligence Program to support the operations, maintenance, and enhancements of a complex, hybrid on-premises and cloud enterprise IT environment. The ideal candidate will possess a robust understanding of network infrastructure design, implementation, and optimization in support of complex analytic and software capabilities. This position is in Reston, VA. Key Responsibilities: Monitor network performance, troubleshoot issues, and provide optimization solutions to maintain network integrity. Work with IT and data teams to understand bandwidth and data transfer requirements for data visualization, language translation, and data processing services. Implement and configure robust network solutions to ensure secure and efficient data ingestion, extraction, and flow across systems. Ensure network reliability and availability through redundancy, failover, and other high-availability techniques. Implement network security measures, adhering to organizational standards and compliance regulations to protect sensitive data. Coordinate with security teams to regularly assess the network for vulnerabilities and perform necessary updates or patches. Document network designs, configurations, and maintenance procedures to ensure a clear understanding of the network's role in supporting analytic functions. Participate in the selection and deployment of network management tools to automate network provisioning, configuration, and maintenance tasks. Collaborate with vendors and third-party service providers to integrate external data services and tools into the network infrastructure. Provide training and support to IT staff on new network technologies and procedures related to data services and analytics. Stay abreast of the latest network technology trends that can enhance the performance and capability of analytics and software services. Responsible for troubleshooting and resolving network issues, implementing security measures and proactively optimizing network performance. Qualifications Required Education: TYPICAL EDUCATION AND EXPERIENCE: Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience. Will consider experience in lieu of degree. Desired Education and Certifications: Bachelor's degree in computer science, Information Technology, or equivalent experience, coupled with relevant professional certifications (e.g., CCNP, CCDP, CCIE). Clearance: Must be a U.S. Citizen and possess an active TS/SCI clearance with Polygraph. Required Qualifications: Experience maintaining a high-performance network infrastructure that supports data-heavy analytic and software applications. 8+ years' experience in network engineering, specifically in environments supporting data analytics and software services. Proficiency with modern networking technologies, including SD-WAN, MPLS, VPN, and cloud networking services. Various years' experience (1 to 8+) configuring, managing, and troubleshooting network components such as routers, switches, firewalls, end points, etc. Various years' experience with network security practices, including firewalls, intrusion detection systems, and encryption. 3+ years' experience with automation tools and scripting languages to streamline network operations. Strong analytical and problem-solving abilities, able to address complex networking challenges. Excellent written and verbal communication skills. Desired Skills: Familiarity with data center infrastructure management and virtualization technologies. Experience with network performance tuning related to large-scale data transfer and real-time data processing. Knowledge of IT service management best practices and frameworks, such as ITIL. Experience in working with cross-disciplinary teams to support diverse IT projects.