Network Engineer, Operations & Support

Facebook Inc.
Kansas City, MO, United States
5 days ago
Apply on www.jobmonkeyjobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Link Complex Networks Data Centers Decision Support Systems Networking Hardware Internet Protocol Network Layer Network Architecture Network Planning and Design Network Installation Services Network Service
+8 more
Cisco Nexus Switches Operational Data Store PDMS Computer Network Operations Delivery Pipeline Juniper Deployment Automation Cisco

Job description

Meta is seeking a Network Engineer to join our Site Services and Edge Network Services (ENS) Capacity & Network team. In this role, you will support the deployment, integration, and ongoing operational health of network infrastructure across Meta’s global site portfolio. You will work at the intersection of structured cabling, IP networking, and physical layer systems to ensure reliable connectivity for hyperscale data center and campus environments. Collaborating with network design, engineering, and cross-functional partners, you will help drive scalable deployment strategies, resolve complex network incidents, and improve operational processes that underpin one of the world’s largest and most dynamic network infrastructures.

Network Engineer, Operations & Support Responsibilities:

  • Support the deployment and integration of network infrastructure across Meta’s site portfolio, including structured cabling, fiber connectivity, switching, and routing systems in data center and campus environments
  • Collaborate with cross-functional teams, managed service providers, and third-party vendors to investigate and resolve complex network incidents and site events affecting edge, access, and core infrastructure
  • Identify operational improvement opportunities across deployment workflows, change management processes, and support procedures to increase efficiency, reliability, and standards compliance
  • Partner with network design and engineering teams to provide field-level feedback that informs future infrastructure designs, cabling standards, and scalability requirements
  • Analyze operational data including fault trends, deployment metrics, and vendor performance to identify systemic issues and drive prioritized corrective actions
  • Ensure accuracy and completeness of network asset records, documentation, and operational runbooks to support consistent and auditable site operations
  • Collaborate with automation and tooling teams to identify opportunities for reducing manual operational tasks, and in some cases directly implement lightweight solutions to address recurring operational gaps
  • Provide technical guidance to external vendors and field technicians to direct installation, repair, and validation activities in accordance with Meta’s network standards
  • Communicate clearly on project status, incident outcomes, and operational metrics to stakeholders across engineering, operations, and site services teams
  • International and domestic travel may be required up to 25% of the time depending on business needs

Requirements

  • Experience working with cross-functional teams and external vendors to execute network deployments, change management activities, or incident resolution at scale
  • 2+ years of experience deploying, operating, or supporting large-scale network infrastructure including structured cabling, fiber optic systems, and IP networking in data center or campus environments
  • Experience analyzing operational datasets or metrics to identify trends, prioritize issues, and support data-driven decision making in a network operations context
  • Experience troubleshooting and root-causing network incidents across physical, data link, and network layers in enterprise or data center environments

Preferred Qualifications:

  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience working within or alongside a Network Operations Center (NOC) environment, including managing against SLAs and contributing to continuous improvement programs
  • Demonstrated use of AI tools to optimize operational workflows, automate documentation, or accelerate troubleshooting and root cause analysis
  • Experience with enterprise or service provider network hardware platforms such as Arista, Cisco, Juniper, or Nexus data center switching platforms
  • Familiarity with hyperscale data center physical infrastructure including rack elevations, structured cabling standards, fiber optic plant design, and power and cooling considerations
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About the company

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobmonkeyjobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:29 min

Expanding practical knowledge with community sandboxes and resources

Stuart Clark · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:45 min

Prototyping deterministic agents with n8n and PyATS

Alfonso Sandoval Rosas Alfonso Sandoval Rosas · Europe 2026 Virtual

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:03 min

Solving complex engineering challenges in artificial intelligence deployment

Nico Axtmann · World Congress 2022

1:38 min

Exploring developer resources for further API automation learning

Shweta Palande · LIVE

Videos

See all

Related articles

See all