Drimva

Meta

Network Engineer, Deployment & Support

$107K–$159K

Gallatin, TN +3 · Full-time · Posted May 29, 2025

Location
Gallatin, TN
Montgomery, AL
Cedar Rapids, IA
Huntsville, AL
Experience
4+ years.
Education
Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

About the job

Deploys, operates, maintains, and supports Meta’s production network infrastructure and content delivery network across datacenters and regional networks.

What you'll do

  • Deploy, configure, maintain, and troubleshoot network infrastructure, including upgrades, migrations, and decommissioning.
  • Coordinate with partner teams and vendors, maintain deployment documentation and asset records, and contribute to scalable network solutions.
  • Support hardware and software integration and participate in a 24/7 on-call rotation; travel is required.

What they ask for

  • 4+ years of experience designing, deploying, and operating large-scale networks.
  • Experience configuring and troubleshooting routing and switching protocols, including BGP, IS-IS, MPLS, RSVP-TE, and VRRP; knowledge of TCP/UDP, DHCP, DNS, IPv4, and IPv6.
  • Hands-on experience with networking hardware in a multi-vendor environment and working knowledge of structured and fiber-optic cabling.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience; degree must be completed before joining.

Nice to have

  • Data center, colocation, Internet Exchange, or Central Office field experience; knowledge of data center power, cooling, and optical transport technologies.
  • Linux, scripting and automation (Bash, Python, Perl), and demonstrated use of AI tools and responsible AI practices.

Pay

$106,995/year to $159,000/year (base salary)

Tools

BGP, IS-IS, MPLS, RSVP-TE, VRRP, IPv4, IPv6, Python

AI focus

Integrate AI tools to optimize or redesign workflows and deliver measurable impact; apply responsible, ethical AI practices and continue developing AI skills, including prompt/context engineering and agent orchestration.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)