Network Engineer

• Design, configure, and maintain enterprise network infrastructure, including routers, switches, firewalls, and load balancers.

• Support WAN, LAN, and wireless networking solutions across hybrid on-premise and cloud environments.

• Implement and optimize network security controls, including firewall rules, VPNs, IDS/IPS, and segmentation strategies.

• Manage F5 and other load balancing platforms to ensure high availability and application delivery.

• Perform network monitoring, traffic analysis, and root cause investigations using tools such as SolarWinds, Nagios, and Wireshark.

• Collaborate with cybersecurity teams to ensure compliance with federal standards, including NIST and Zero Trust principles.

• Support network upgrades, migrations, and modernization initiatives, including cloud-based networking in Azure and hybrid environments.

• Create and maintain detailed network diagrams, runbooks, and standard operating procedures.

• Provide Tier III escalation support, troubleshoot performance bottlenecks, and resolve incidents across enterprise environments.

• Participate in change control processes, risk assessments, and disaster recovery planning.

• Mentor junior engineers and provide technical guidance to team members.

• Bachelor’s degree in computer science, electronics engineering, or another engineering or technical discipline. Eight (8) years of additional relevant experience may be substituted for the degree.

• 5+ years of experience.

• Hands-on experience as a Network Engineer supporting enterprise-scale environments.

• Expertise in configuring and managing Cisco and Juniper routers/switches.

• Strong experience with firewalls (e.g., Palo Alto, Checkpoint, Cisco ASA) and VPN solutions.

• Proficiency in load balancing technologies, including F5 LTM/GTM/DNS, with the ability to troubleshoot persistence, SSL offload, and traffic steering.

• Knowledge of WAN optimization, MPLS, QoS, and advanced routing protocols (BGP, OSPF, EIGRP).

• Familiarity with cloud networking (Azure, AWS, or similar), hybrid connectivity, and software-defined networking.

• Strong understanding of network security principles, including Zero Trust, encryption, and segmentation.

• Experience with network monitoring and analysis tools such as SolarWinds, Nagios, and Wireshark.

• Excellent troubleshooting skills with the ability to diagnose and resolve complex network issues.

• Strong communication skills with the ability to collaborate across teams and present technical concepts to non-technical stakeholders.

Additional Qualifications:

• Relevant certifications such as CCNP, CCIE, JNCIE, PCNSE, or F5-CTS.

• Experience supporting healthcare IT systems, EHR platforms, or large-scale federal data environments.

• Familiarity with VA systems, policies, and compliance frameworks.

• Experience using AI-assisted tools (for example, GitHub Copilot) to write and maintain network automation scripts and configuration templates (for example, Python or Ansible), including reviewing and validating AI-generated configurations in a lab or test environment before deployment.

• Experience using AI-driven monitoring and AIOps capabilities to detect anomalies, correlate events, and speed root cause analysis across network monitoring data.

• Experience using AI tools to analyze logs, packet captures, and traffic data during troubleshooting, with the engineer confirming findings before acting on them.

• Experience using AI tools to draft and maintain network documentation, including diagrams, runbooks, and standard operating procedures.

• Understanding of the network and security requirements for hosting and accessing AI services, such as secure connectivity to cloud AI endpoints, data egress controls, and segmentation.

• Familiarity with secure and responsible AI use in federal environments, including using only agency-approved AI tools, never entering network configurations, credentials, or PHI/PII into unapproved tools, and following VA and federal AI guidance.

• Medical/Dental/Vision