Drimva

Meta

Network Engineer, Deployment & Support

$107K–$159K

Temple, TX +5 · Full-time · Posted Aug 27, 2026

Location
Temple, TX
Papillion, NE
Aurora, IL
Garland, TX
Huntsville, AL
Houston, TX
Experience
5+ years in optical network engineering, design, or deployment.
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

Plans and executes optical network deployments and migrations across Meta’s backbone, edge, data center, and cloud infrastructure, including work to scale AI networks.

What you'll do

  • Plan, schedule, and execute optical network deployments and migrations, including testing and production handoff.
  • Develop migration strategies, implementation plans, and network automation; use AI to improve network operations.
  • Coordinate with engineering, operations, vendors, and other stakeholders to deliver scalable network projects.

What they ask for

  • 5+ years of experience in optical network engineering, design, or deployment, with expertise in DWDM, ROADM, OTN (G.709), and coherent optics (400G/800G).
  • Experience with optical line systems and transponder platforms, and architecting and deploying complex networks across data centers, backbone, edge, and public cloud environments.
  • Experience with field-based work in network collocation facilities, Internet Exchanges, data centers, or Central Offices.
  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience; degree must be completed before joining Meta.

Nice to have

  • Experience building automation workflows using Python, Go, or similar languages and network configuration management tooling.
  • Advanced degree in Computer Science, Engineering, or a related discipline.

Pay

$106,995/year to $159,000/year USD base salary

Tools

DWDM, ROADM, OTN (G.709), 400G/800G, Ciena, Nokia, Infinera, Python, Go

AI focus

Create and analyze network code, automate configurations and migrations, and leverage AI to enhance network operations; apply responsible AI practices and integrate AI tools to improve workflows. Working knowledge of AI/ML models is requested.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)