Redhorse Corporation

Redhorse Corporation

Senior Network Engineer

Arlington, VA · Senior

No sponsorship$150k-$160kDetected 139 days ago
TypeScriptCybersecurityCustomer SupportCiscoNetwork MonitoringNetwork EngineeringFiber Optics

About the role

  • Redhorse transforms the way government uses data and technology.
  • In this high-impact role, you will be the backbone of the Justice Consolidated Office Network (JCON) and National Security Division Networks (NSDNet), ensuring 99% system availability for mission-critical operations.

Responsibilities

  • Lead the design, engineering, and administration of high-availability classified network infrastructures.
  • Manage complex traffic routing schemes and integrate local systems with the Justice Unified Telecommunications Network (JUTNet).
  • Plan, configure, and document enterprise network devices and topologies using Cisco and Juniper hardware.
  • Perform advanced troubleshooting for end-point patching and complex networking issues across both copper and fiber optic media.

Requirements

  • Required Experience/Clearance
  • 8+ years of experience in network engineering, specifically within high-availability classified environments.
  • Hands-on experience with COMSEC, including the configuration of Type-1 encryption devices.
  • Technical proficiency with physical layer infrastructure, including copper and fiber optic cabling.
  • Direct experience with the Justice Unified Telecommunications Network (JUTNet).
  • Experience with VMware networking within virtualized data center environments.
  • Proficiency with automated network monitoring and management tools.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.

Compensation

  • The salary range provided for this position represents the anticipated base salary for successful candidates.

Visa & Work Authorization

  • Active Top Secret (TS) security clearance with SCI eligibility (DOJ Adjudicated)

This listing is sourced directly from Redhorse Corporation's careers page and normalized into a canonical job model.