Network Engineer, Foundation & Support

Meta Meta · Big Tech · Denver, CO

Meta is looking for a Network Engineer to manage enterprise network services for their physical sites globally. This role involves planning, deploying, and operating network infrastructure, leading incident response, and using AIOps and automation to improve reliability and efficiency. The candidate will also collaborate with vendors and internal teams, and advise on network matters.

What you'd actually do

  1. Plan and execute end-to-end deployment of enterprise network services across Meta's physical sites, including LAN, WAN, wireless, and access layer infrastructure
  2. Evaluate site-specific network requirements and design deployment architectures that align with foundation infrastructure standards and capacity targets
  3. Lead incident response for network outages, performing root cause analysis, coordinating remediation efforts, and implementing corrective actions to prevent recurrence
  4. Drive change management processes for network infrastructure updates, ensuring proper review, testing, and rollout procedures are followed
  5. Collaborate with vendors, site operations, facilities, and cross-functional infrastructure teams to coordinate network initiatives and resolve complex issues

Skills

Required

  • Network engineering
  • Enterprise network deployment
  • Operations
  • Site services infrastructure
  • LAN, WAN, wireless network environments
  • Network configuration and provisioning automation
  • Python
  • Ansible
  • AIOps platforms
  • Network observability tooling
  • Automation frameworks
  • Large-scale campus or data center environments
  • Structured cabling
  • Access switching
  • Wireless access point infrastructure
  • Network automation pipelines
  • Change management processes
  • ITSM tools

Nice to have

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • CCNP, CCIE, or equivalent certifications
  • Prompt/context engineering
  • Agent orchestration

What the JD emphasized

  • Experience with AIOps platforms, network observability tooling, and automation frameworks used to enhance operational efficiency and incident detection
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies