Meta
Network Engineer, Optical Deployment
$135K–$191K
Denver, CO +9 · Full-time · Posted Jul 14, 2026
- Location
- Denver, CO
Temple, TX
Reston, VA
Menlo Park, CA
Seattle, WA
Papillion, NE
Aurora, IL
Garland, TX
Huntsville, AL
Houston, TX - Experience
- 6+ years of Network Engineering, including hands-on production network planning, building, deployment, or migration; 3+ years of Optical Network Engineering.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
About the job
Plans, deploys, migrates, and supports Meta’s global optical and IP network infrastructure, including edge, backbone, and data center networks.
What you'll do
- Lead technical deployment planning, architecture, and execution for network projects.
- Design, deploy, migrate, troubleshoot, and support production network environments; contribute hands-on technical work and process improvements.
- Coordinate with cross-functional teams and vendors, execute network roadmaps, and mentor team members.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 6+ years of Network Engineering, including hands-on responsibility for planning, building, deploying, or migrating production network environments; 3+ years in Optical Network Engineering.
- Hands-on experience with enterprise and carrier class routing, switching, and optical transport platforms; knowledge of data center design and operational best practices.
- Proficiency in automation (Python, Go, etc.) and network configuration management tooling; experience leading network deployment and migration projects.
Nice to have
- Experience with process improvement, systems development, and automation to streamline workflows.
- Experience in data center, edge, or large-scale network environments; demonstrated AI skill development and responsible use of AI tools.
Pay
$135,000/year to $191,000/year USD base salary
Tools
Python, Go
AI focus
Develop AI skills and integrate AI tools to optimize or redesign workflows and deliver measurable impact, while applying responsible and ethical AI practices.
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