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Network Operations Engineer

Salem, OR, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

Summary:

Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center structured cabling, fiber connectivity solutions, and IP networking to support the delivery of field repair services. You will work closely with internal business teams, external vendors, network design/engineering, and other cross-functional teams to develop strategies for integrating new technologies and better supporting existing technologies across our operational fleet. Your objective will be to understand technical drivers for the business and organize strategies to ensure operational supportability meets those needs. Additionally, you will help represent ENS across various stakeholder groups to help achieve critical projects. Our team is dedicated to improving the operational efficiency and reliability of one of the world's most dynamic and fast-paced networks.

Required Skills:

Network Operations Engineer Responsibilities:

Incident Response: Collaborate with cross-functional teams, managed service providers, and third-party vendor partners to investigate complex technical and process issues during major incidents/site events (SEVs) on edge, caching, and network infrastructure. Work closely with team members to understand the root cause of incidents and contribute to their resolution
Change Management: Identify security & business continuity issues affecting the network and infrastructure at Meta and work with the team to implement effective changes. Provide feedback on existing tools, processes, and policies to help scale with the rapid expansion of the Meta platform and customer base
Operations: Drive operations by identifying improvement opportunities across policies, processes, and procedures to improve efficiency and quality of activities. Ensure standards compliance across the network and optimize service delivery
Collaboration and Partnership: Work closely with internal customers to address their needs and issues, and influence future iterations of data center and network designs for seamless integration of new infrastructure and scalability
Team Leadership: Work with cross-functional teams within and outside the organization to deliver business outcomes predictability across global sites. Analyze operational datasets to detect and prioritize problems and create aligned team projects, programs, and roadmaps
Risk Management: Collaborate with partner teams to design and implement aligned processes that identify and manage data and asset protection risks, as well as operations continuity issues across the network
Information and Data Assurance: Ensure relevant operational process, procedure, and policy documentation is effectively managed, and the data required to support operations is complete and accurate in systems
Automation: Collaborate with the team to analyze operational events to identify new automation opportunities and achieve our goals of all Tier-1 faults in the network being fully remediated by software. Help others understand our requirements and drive their roadmaps, and in some cases, directly implement lightweight solutions in code
Data Measurement: Drive quality into the metrics we report, measuring and analyzing escalation issues, fault/event trends, infrastructure capacity, and vendor performance failures. Formulate appropriate metrics and definitions of success to drive quality, efficiency, cost, and timeliness, evolving these over time to match changes to the infrastructure and business requirements
Communication: Provide clear and effective communication around personal and team goals, progress, outcomes, and lessons learned across assigned scope
Travel: International and domestic travel may be required up to 25% of the time, depending on the needs of the business

Minimum Qualifications:

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
4+ years of experience operating, deploying, and designing large-scale network, optical, and/or physical layer infrastructure
4+ years of network operations experience while supporting large-scale service provider, data center, and/or enterprise network infrastructure
Hands-on experience with various optical/network communication equipment such as network/fiber/copper test gear, and other WDM equipment, as well as associated tools and test equipment
Communication skills with a demonstrated ability to engage effectively with hardware vendors, service providers, and colocation facility vendors globally, and translate performance issues into actionable technical requirements
Experience analyzing tactical situations, troubleshooting, root causing systems and tools, and problem solving via tasks or larger cross functional projects
Ability to provide technical guidance to external vendors to direct repair actions
Working knowledge of Network Services, including topology, traffic analysis, hardware platform, and architectures
Familiarity with Enterprise and Service Provider network hardware platforms and architectures, including Cisco and Juniper routers/switches and Nexus data center switching hardware platforms
Knowledge of physical data center design: rack elevations, cabling, fiber optics, power/cooling, and facility infrastructure
Experience with network hardware platforms and architectures including Ciena, Infinera, Nokia, Arista, Cisco WDM Equipment
Ability to move technical or engineering programs and products from inception to delivery, and articulate their impact using metrics

Preferred Qualifications:

Experience in partnering with infrastructure engineers within varied infrastructure environments, such as data center facilities or leased facilities
Direct experience within global Network Operations Center (NOC) environments and managing SLAs (service level agreements) and continuous improvement against metrics at scale
Project management experience
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

Public Compensation:

$106,995/year to $159,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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More about this job

Skills

Incident response
Change management
Identify process improvements
Regulatory compliance
Collaboration
Team leadership
Risk management
Manage data
Documentation
Communication skills
Computer science
Computer engineering
Troubleshooting
Problem solving
Hardware platforms
Fibre optics
Process improvement
Project management
Hazard assessment

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