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Associate Professor of the Practice
Boston University
Boston, MA
…MASTER OF SCIENCE IN COMPUTER SCIENCE and MASTER OF SCIENCE IN ARTIFICIAL INTELLIGENCE programs. Candidates should have experience teaching graduate-level courses in applied topics, such as…
Added 1 min ago
Technical Project Manager - Machine Learning & Data Science
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Jefferson City, MO
…client in the automotive entertainment space. You will work with machine-learning (ML), data science/Artificial Intelligence (DS/AI), data engineering, and analytics teams to deliver…
Added 4 mins ago
Senior AI Engineer, Big Data & AI Solutions
Mastercard
O'Fallon, MO
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Added 10 mins ago
Engineering Advisory Manager (Engineering & PLM)
Accenture
Saint Louis, MO
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Added 12 mins ago
AI & GenAI Data Scientist - Manager
PwC
Kansas City, MO
…build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data…
Added 12 mins ago
AI & GenAI Data Scientist - Manager
PwC
Saint Louis, MO
…build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data…
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Senior Manager, Digital Product Management
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Westlake, TX
…and execution across channel integration, interaction data, artificial intelligence, and authentication capabilities that help representatives better understand client interactions and take…
Added 16 mins ago
Data Center Capacity Engineer
Meta
El Paso, TX
Added 16 mins ago
Network Engineer, Data Center Field Operations
Meta
El Paso, TX
Added 16 mins ago
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Associate Director - TuneLab Biologics Customer Success Partner
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Assistant Professor, Department of Business Technology - Business School
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1
Senior Engineering Manager, App Excellence
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Remote, United States
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- Leading client application, mobile, desktop, browser, platform, or developer infrastructure teams.
Added 20 mins ago
Network Engineer, Deployment & Support
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…locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for…
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Network Engineer, Deployment & Support
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Engineering Advisory - Functional Consultant Across Industries
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+ Digitizing Engineering function with new technologies like Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, Blockchain, etc.
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Finance Analytics & AI Senior Consultant
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- One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform, Snowflake, Databricks
Added 44 mins ago
Finance Analytics & AI Senior Consultant
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Finance Analytics & AI Manager
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Network Engineer, Data Center Field Operations

El Paso, TX, United States

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Job details

Experience: 7+ years of network operations experience supporting large-scale service provider, data center, and/or enterprise network infrastructure
Posting language: English
Posted: Nov 5, 2026

Original job description

Summary:

Meta is looking for a Data Center Field Operations Network Engineer to support delivery of field services as part of our Edge and Network Services (ENS) team. The role requires subject matter expertise in hyperscale DC structured cabling, fiber connectivity solutions, and IP networking. The role involves scoping, developing, and implementing strategies and plans in partnership with internal business teams', external vendors, network design/engineering, and other cross-functional teams to develop strategies for integrating new technologies and to better support existing technologies across the operational fleet. An objective for this role is to understand technical drivers for the business, organize strategies to ensure the operational supportability to meet those business needs, and to represent ENS across stakeholder groups to ensure those critical projects are achieved.The team improves operational efficiency and reliability of Meta's global network infrastructure. This role requires experience in dynamic operational environments and the ability to identify and resolve operational inefficiencies in order to implement the process enhancements and automation solutions to solve them, along with experience identifying root causes in complex systems and a demonstrated ability to learn new domain expertise and technologies.

Required Skills:

Network Engineer, Data Center Field Operations Responsibilities:

Incident Response: Drive work investigating complex technical and process issues on a global scale spanning multiple reliability, security, and continuity disciplines for infra during major incidents/site events (SEVs) on edge, caching, and network infrastructure. This will require you to work closely and effectively with a variety of cross-functional teams, managed service providers, and third-party vendor partners
Change Management: You will be integral to identifying problems and implementing effective change within security and business continuity issues that affect the network, edge, and infrastructure at Meta. This may include driving initiatives regarding improvements to existing tools and processes and providing feedback on new policies, practices, and procedures in order to scale with the rapid expansion of the Meta platform and customer base
Operational Experience: As an operations practitioner within the ENS team you will be expected to drive operational efficiency in everything we do. In this role you will directly or indirectly oversee a large contingent workforce responsible for delivering roadmapped projects and executing on recurring operational activities. As such, identifying improvement opportunities across policies, processes, and procedures is essential to improve efficiency and quality of the activities. You will optimize service delivery with a focus on standards compliance across the network
Team Leadership: Set team goals and work globally with cross-functional teams within and outside the organization to deliver predictable business outcomes across global sites. This also includes analysis of operational datasets to detect and inform the prioritization of problems to resolve. This often culminates in the creation and communication of aligned team projects, programs, and roadmaps
Risk Management: Work with partner teams to design and implement aligned processes that identify and manage data and asset protection risks (i.e., security and privacy gaps, business continuity vulnerabilities), 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: Be heavily involved in driving the team to analyze operational events in order to identify new automation opportunities and help us achieve our vision of all Tier-1 faults in the network being fully remediated by software. This will include helping others understand our requirements and drive their roadmaps and, in some cases, directly implementing lightweight solutions in code
Data Measurement: As an operations practitioner supporting our network, you will be expected to define and refine operational metrics to ensure accuracy and alignment with business priorities. This could include measurement and analysis of our escalation issues, fault/event trends, infrastructure capacity, and vendor performance failures. You should have the experience to formulate the right metrics and definitions of success to drive quality, efficiency, cost, and timeliness, and evolve 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 25% of the time and up to 50% of the time depending on the needs of the business

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Hands-on experience with a variety of optical/network communication equipment including optical amplifiers, coherent transponders, network/fiber/copper test gear and other WDM equipment, as well as associated tools and test equipment
7+ years of network operations experience supporting large-scale service provider, data center, and/or enterprise network infrastructure
Communication experience: demonstrated skills to effectively engage with hardware vendors, service providers, and colocation facility vendors globally and effectively translate performance issues into technical engineering requirements
Experience providing technical guidance to external vendors
Intermediate subject matter expertise in Network Services, including topology, traffic analysis, hardware platforms, and architectures
7+ years of experience with telecommunication networks in terrestrial optical transport networks, including DWDM, network infrastructures, optical testing, optical measurement principles, structured cabling, and experience with the photonic layer
Subject matter expertise with physical infrastructure design: rack elevations, cable types, connector types, optic types, patch panels, and facility infrastructure
Familiarity with Enterprise and Service Provider network hardware platforms and architectures, including Cisco and Juniper routers/switches and Nexus data center switching hardware platforms
Experience with 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, and Cisco WDM equipment

Preferred Qualifications:

Experience with purchasing, negotiating, and end-to-end supplier management, such as managing global RFPs and contract negotiations
Experience moving technical or engineering programs and products from inception to delivery and experience articulating the impact using metrics
Experience preparing and presenting operational updates, strategic proposals, and business cases to executive stakeholders
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
Direct leadership experience with global Network Operations environments and managing Service Level Agreements and continuous improvement against metrics at scale

Public Compensation:

$135,000/year to $191,000/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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