Meta
Network Engineer, Deployment & Support
$135K–$191K
Los Lunas, NM +19 · Full-time · Posted Apr 14, 2026
- Location
- Los Lunas, NM
Mesa, AZ
Aiken, SC
Kansas City, MO
Temple, TX
Rayville, LA
Menlo Park, CA
Papillion, NE
Prineville, OR
Aurora, IL
Lebanon, IN
Garland, TX
El Paso, TX
Cedar Rapids, IA
DeKalb, IL
New Albany, OH
Altoona, IA
Huntsville, AL
Eagle Mountain, UT
Houston, TX - Experience
- 6+ years; no alternative stated.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
About the job
Deploys, operates, maintains, and supports Meta’s production network infrastructure across data centers and regional networks worldwide.
What you'll do
- Deploy, configure, maintain, and troubleshoot network infrastructure; perform upgrades, migrations, and decommissioning.
- Coordinate day-to-day network operations with partner teams and vendors, and maintain deployment packages, documentation, and asset records.
- Help develop and integrate network hardware and software, establish scalable practices, and participate in a 24x7 on-call rotation; travel 10–30% based on project.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 6+ years of experience designing, deploying, and operating large-scale networks.
- Experience configuring and troubleshooting routing and switching protocols; working knowledge of network protocols, IPv4/IPv6, networking hardware, physical infrastructure, and data center operations.
- Experience with multiple projects, global teams, field-based network work, Linux-based systems, scripting and automation, and technical leadership and people management; demonstrated ability to use AI tools responsibly and develop AI skills.
Pay
$135,000/year to $191,000/year (base salary)
Tools
BGP, IS-IS, MPLS, RSVP-TE, VRRP, TCP/UDP, DHCP, DNS
AI focus
Integrate AI tools to optimize or redesign workflows and achieve measurable impact; apply responsible, ethical AI practices and continue developing skills such as prompt/context engineering and agent orchestration.
Model-written summary · the original posting is authoritative