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Location
In office (El Paso)
Seniority
Senior · 7+ years exp
Visa
H-1B filings in 12 months: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 4, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
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.

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

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 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

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