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; willingness to travel approximately 10% of the time.
Education
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; degree must be completed prior to joining Meta.

About the job

Plans and executes optical backbone network deployments and migrations, while developing automation and using AI to improve network operations.

What you'll do

  • Plan, schedule, and execute optical network deployments and migrations across backbone, metro, long-haul, and subsea systems.
  • Coordinate technical requirements, implementation plans, testing, and production handoffs across engineering, operations, and partner teams.
  • Automate network configurations and migrations, contribute to deployment strategies, and use AI to improve network operations.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; degree must be completed before joining.
  • 5+ years of experience in optical network engineering, design, or deployment, including DWDM, ROADM, OTN (G.709), and coherent optics (400G/800G).
  • Experience with optical line systems and transponder platforms, complex network deployments, and field work in third-party facilities, exchanges, data centers, or central offices.
  • Experience building automation solutions (e.g., Python, Go), working with network configuration management tooling, and integrating AI tools into workflows.

Nice to have

  • Advanced degree (Master’s, PhD) in Computer Science, Engineering, or a related discipline.
  • Working knowledge of Artificial Intelligence / Machine Learning models.

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 tools to optimize workflows and network operations; responsible, ethical AI practices and ongoing AI skill development are also specified.

Model-written summary · the original posting is authoritative

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