Data Center Network Engineer

GTN Technical Staffing

Dallas (TX)

On-site

USD 130,000 - 170,000

Full time

10 days ago
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Job summary

GTN Technical Staffing is seeking a Senior Network Engineer to join a Network and Security Platform Management team supporting a global network footprint across offices, data centers, and co-location sites.

The role emphasizes performance, scalability, and resilience with deep Cisco/Arista expertise and a strong focus on automation, troubleshooting, and continuous improvement in a fast-paced, mission-critical environment.

Qualifications

  • Proven experience designing, implementing, and supporting large-scale enterprise or data center networks.
  • Strong hands-on expertise with Cisco and Arista platforms including IOS, IOS-XR, NX-OS, EOS.
  • Experience with routing/switching protocols (BGP, OSPF, EVPN, VXLAN, MPLS) and WAN technologies.

Responsibilities

  • Design, implement, and maintain scalable, resilient data center network infrastructure.
  • Support enterprise, data center, and co-location environments across routing, switching, firewall, and WAN domains.
  • Lead troubleshooting for complex network issues across global infrastructure.
  • Automate network operations using Python, Ansible, Git, and Jinja2.
  • Monitor network health with telemetry and observability platforms.

Skills

Data center networking
Network automation
Cisco & Arista expertise
Troubleshooting
Agile/DevOps mindset

Tools

Python
Ansible
Git
Jinja2

Job description

GTN is seeking a Senior Network Engineer to join a Network and Security Platform Management team responsible for a global network footprint spanning office, data center, and co-location environments.

This role focuses on ensuring performance, scalability, and resilience across large-scale data center networks supporting complex compute, research, and high-performance infrastructure workloads. The Senior Network Engineer will play a key role in implementing modern networking solutions, driving automation, improving reliability, and supporting highly available infrastructure in a fast-paced, mission-critical environment.

The ideal candidate brings deep expertise in data center networking, strong hands-on experience with Cisco and Arista technologies, and a passion for automation, troubleshooting, and continuous improvement.

Key Responsibilities
Network Engineering & Operations
  • Design, implement, and maintain scalable, resilient data center network infrastructure
  • Support enterprise, data center, and co-location environments across routing, switching, firewall, and WAN domains
  • Lead troubleshooting and break/fix efforts for complex network issues across global infrastructure
  • Support highly available network environments where uptime, performance, and operational discipline are critical
  • Implement and manage data center network architectures leveraging EVPN, VXLAN, MPLS, and modern routing protocols
  • Support WAN environments including SD-WAN, segment routing, and multitenant network designs
  • Work hands-on with Cisco and Arista platforms across IOS, IOS-XR, NX-OS, and EOS
  • Contribute to network design reviews, standards, documentation, and architecture improvements
Automation & DevOps
  • Automate network operations using tools such as Python, Ansible, Git, and Jinja2
  • Support Infrastructure-as-Code practices and CI/CD pipelines for network provisioning and configuration management
  • Improve operational efficiency through automation, tooling, repeatable processes, and documentation
  • Partner with engineering teams to reduce manual work and improve network deployment consistency
Monitoring, Performance & Reliability
  • Monitor and proactively manage network health using telemetry and observability platforms
  • Perform packet analysis, performance tuning, and root cause analysis for network issues
  • Conduct regular audits to ensure compliance with internal standards, operational procedures, and best practices
  • Identify reliability gaps and help drive improvements across performance, resiliency, and scalability
Cross-Functional Collaboration
  • Partner with Data Center, Security, DevOps, Platform, and Infrastructure teams to align on network architecture and operations
  • Collaborate with engineering teams to deliver high-quality designs and support rollout of strategic initiatives
  • Support large-scale compute environments, including HPC infrastructure where applicable
  • Communicate technical issues clearly to both engineering and operational stakeholders
  • Mentor junior engineers and promote knowledge sharing across the team
  • Act as a technical leader during incident response and critical troubleshooting scenarios
  • Help establish standards, best practices, and repeatable processes for network operations and engineering
Required Experience
  • Proven experience designing, implementing, and supporting large-scale enterprise or data center networks
  • Strong hands-on expertise with Cisco and Arista networking platforms, including IOS, IOS-XR, NX-OS, and EOS
  • Deep understanding of routing and switching protocols including BGP, OSPF, EVPN, VXLAN, and MPLS
  • Experience supporting WAN technologies including SD-WAN, segment routing, and multitenant environments
  • Strong troubleshooting skills, including packet analysis, performance optimization, and root cause analysis
  • Experience working in Agile, DevOps-oriented, or infrastructure automation environments
  • Ability to operate effectively in fast-paced, mission-critical environments
Technical Skills
  • Network automation experience using Python, Ansible, Jinja2, and Git
  • Experience with network monitoring, telemetry, and observability platforms
  • Familiarity with Infrastructure-as-Code and CI/CD practices
  • Strong understanding of data center networking, routing, switching, WAN, and network reliability principles
Preferred Experience
  • Experience with InfiniBand networking and large-scale HPC environments
  • CCNP or equivalent certification preferred; CCIE or advanced certifications a strong plus
  • Experience supporting high-performance, research-driven, AI/ML, or large-scale compute environments
  • Exposure to security, segmentation, firewall, or load-balancing technologies in data center environments
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