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Salary
≈ $176k – $360k per year (Estimated)
Location
In office (Denver)
Seniority
Senior · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Mar 16, 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.
The Edge & Network Services (ENS) team at Meta is seeking individuals to help us tackle the unique challenges and opportunities we face while contributing to our mission of connecting the world. This global team offers a unique career opportunity to work with cutting-edge network infrastructure technologies and engineers solving complex problems in the industry. For this role, we are looking for a Network Infrastructure Design Engineer with demonstrated experience in developing and deploying network connectivity solutions at scale in a data center or similar mission-critical data processing environment.

Are you ready to shape the future of Meta's data center designs? As a member of the ENS Foundation Design team, you will collaborate with technical teams across the organization to ensure that critical networks supporting seamless commissioning, provisioning, and ongoing operations of our global data centers have their cooling, space, power, and network connectivity needs met in new infrastructure design initiatives. Your mission is crucial - to guarantee that Meta's new data center designs incorporate the network infrastructure needs of ENS and its stakeholders. Join us in this exciting endeavor and make a real impact on Meta's future!

Responsibilities

Leverage in-depth subject-matter knowledge to represent the network infrastructure design and deployment needs for Industrial Control Systems (ICS) and non-production networks, supporting the commissioning, provisioning, and ongoing operations of our global data centers Collaborate across highly technical teams including network engineering, data center design and construction, and data center connectivity to develop, document, and incorporate network infrastructure cooling, space, power, and connectivity requirements into Meta data center designs and standards Build and nurture business relationships with key stakeholders, partners, and vendors Initiate and lead strategic initiatives driving efficiency, innovation, and standardization of network infrastructure within the data center environment Influence future iterations of data center and network designs to ensure seamless integration of new infrastructure technologies Drive improvements in technical references/standards, design processes, and training documentation Support automation and tooling initiatives to drive consistency and efficiency in all aspects of infrastructure design, deployment, and operations Perform construction administration site visits and work cross-functionally with construction, design architects/engineers, and contractors to validate cabling infrastructure and network builds according to Meta standards Educate site design, construction, and operations teams on data center product design intent to minimize and proactively address site level design deviations 20% to 30% travel required based on project demand

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7+ years of work experience with designing and deploying large-scale data center connectivity infrastructure Thorough knowledge of structured cabling and fiber optic infrastructure including design and installation best practices, industry standards, application, and limitations Working knowledge of fault tolerant cooling and electrical architectures used for supporting network and compute hardware in a high availability environment General knowledge of the data center design, construction, and start up/commissioning processes Experience leading cross-functional teams through partnership and driving large-scale data center or similar infrastructure design initiatives Track record of solving problems, setting strategic direction, and executing tactically, and achieving measurable outcomes Working knowledge of internet networking technologies (TCP/IP, routing, switching), optical transport technologies (DWDM and Optical transceivers), network redundancy concepts Demonstrated experience to work effectively in an ambiguous environment and collaborate with global cross-functional teams to develop and execute plans that address evolving business needs Experience with scoping, prioritization, multitasking, and clear communication is required Experience leading and managing matrixed technical teams Experience working with on-site construction teams, and managing contractors, and vendor relationships Working knowledge of data center facilities management practices and supporting industrial control system infrastructure (Building Management Systems, Distributed Antenna Systems, corporate WIFI, Precision Timing Protocol, fire protection, physical security access control systems) Working knowledge of data center infrastructure management (DCIM) Data center design or relevant telecommunications/Professional Engineering licensure Proficiency with AutoDesk design tools (ACC/Revit/BIM 360) Familiarity with the Linux based systems and experience with scripting and automation (Bash, Python, Perl) 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

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