Network Engineer, Foundation and Support (Edge/Backbone Infrastructure Design)

The Meta Game, Inc.
Denver, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 159K

Job location

Denver, United States of America

Tech stack

AutoCAD
Artificial Intelligence
Airflow
Autodesk Revit
Bash
Big Data
Wavelength-Division Multiplexing
Data Centers
Dynamic Host Configuration Protocol
DNS
Perl
Networking Hardware
Python
Linux System Administration
Project Management Software
Network Architecture
Network Functions Virtualization
Routing
Network Service
Transmission Control Protocol (TCP)
Integrated Communications Access Packages
Computer Network Technologies
Bluebeam
Bicsi
BIM360 Construction Management Software

Job description

The Edge & Network Services (ENS) team at Meta is looking for individuals ready to tackle the challenges and opportunities we face as we contribute to our mission of connecting the world. This global team offers a unique career opportunity to work alongside engineers solving complex problems using cutting-edge network infrastructure technologies. For this role, we are looking for a Network Infrastructure Design Engineer with demonstrated experience in developing and delivering network infrastructure solutions at scale in a data center or globally distributed Point of Presences (POPs).Are you ready to shape the future of Meta's global network reach? As a member of the ENS Foundation Design team, you will support capacity expansion of Meta's global Edge/Backbone network and compute presence. You will work closely with cross-functional design, planning, and deployment teams to develop space, power, cooling, and connectivity infrastructure design requirements and drive execution of these needs within Meta's global colocation spaces including POPs, Cable Landing Stations, and Backbone midpoint sites. This role is execution and delivery focused supporting the North America and Latin America regions.Join us in this exciting endeavor and make a real impact on Meta's future!, 1. Designs, reviews, and optimizes ICT physical infrastructure - including structured cabling systems, floor/rack layouts, network hardware placement, and integrated communications systems - for large-scale data center and network deployments

  1. Develops and enforces Meta ICT design standards, best practices, and compliance with relevant industry standards (e.g., TIA/EIA, ISO/IEC, BICSI)
  2. Develops optimized layouts of edge/backbone midpoint site floorplans, allocates space assigned to network functions, optical, backbone, IP, and compute
  3. Delivers on time Engineering Design Packages related site infrastructure scope for sourcing and capacity planning teams
  4. Manages global space, power, cooling, structured cabling, and other inside plant infrastructure delivery requirements to support Meta edge/backbone network deployments across owned and colocation facilities
  5. Engages in system level facility sizing of utilities, switchgear, UPS/DC power plant, PDUs, mechanical cooling, and Low Voltage power distribution
  6. Proactively engages with various data center colocation providers in evaluating their facilities and recommends corrective actions to meet Meta standard design requirements
  7. Collaborates with internal and external design and planning engineers to execute projects related to cage and suite network/compute infrastructure build-outs
  8. Leads weekly syncs with external colocation vendors and provides technical support and progress reporting on cage and suite build-outs and acceptance
  9. Manages and tracks project timelines, risks, and successfully navigate projects to on-time completion
  10. Leads site acceptance activities with various colocation providers as per Edge network facility acceptance standards
  11. Coordinates multiple projects in parallel and efficiently executes work through vendors at scale
  12. Collaborates closely with Meta business and technical teams to provide input on space/power delivery and associated deployment projects, as well as other major initiatives that may affect capacity delivery
  13. Updates Meta's internal tooling and data record keeping in support of edge/backbone midpoint cage and suite build-outs
  14. Coordinates related Owner Furnished/Contractor Installed equipment delivery from Meta's inventory to colocation facilities
  15. Proactively works and aligns with network planning and investment teams on the roadmap and material forecasting needs for on-time delivery of projects
  16. 20% to 30% travel required based on project demand

Requirements

Network Engineer, Foundation and Support (Edge/Backbone Infrastructure Design) Responsibilities, 18. 5+ years of work experience with designing and constructing large scale data center or similar mission critical infrastructure including specifying suite level space, power, cooling, and structured cabling connectivity requirements for network and compute hardware

  1. Demonstrated experience in project management, including planning, execution, and delivery of complex technical projects
  2. Working knowledge of interpreting and analyzing electrical/mechanical single line diagrams
  3. Working knowledge of various regional data center electrical and cooling configurations, IEC, NEMA standards, AC/DC power concepts, power redundancy scenarios
  4. General knowledge of fiber optic components, structured cabling, pathways, and interconnect products, technologies, and design concepts
  5. Demonstrated understanding of engineering principles related to infrastructure architecture, including space line up, air flow, cooling, etc
  6. General knowledge of data center, colocation, and isolated hut environments, including engineering principles related to power and infrastructure
  7. Demonstrated experience with field-based work in POPs, data centers, Carrier-neutral facilities, or telecom exchanges
  8. Experience with communication and directing tasks with carriers and colocation vendors
  9. Demonstrate experience to work effectively in an ambiguous environment
  10. Collaborate with global teams to drive business results. Must possess proven planning, prioritization, and communication skills, with the experience to manage multiple tasks and adapt to changing business needs
  11. Proven skill to analyze technical situations, troubleshoot issues, and solve problems with limited supervision
  12. Working knowledge of internet networking technologies (TCP/UDP, DHCP, DNS, routing, switching concepts), optical transport technologies (DWDM and Optical transceivers), and network redundancy and failover concepts
  13. Working knowledge of Revit/AutoCAD/Bluebeam/BIM360/ACC/Procore etc

Preferred Qualifications:

Preferred Qualifications:

  1. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  2. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  3. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  4. Proficient in Revit/AutoCAD/Bluebeam/BIM360/ACC/Procore etc
  5. Thorough knowledge of optical theory, transport technologies, and the operation of optical transport systems and IP backbone network technologies
  6. Experience with optical network design, installation, and maintenance for service providers or global enterprise networks
  7. Experience with ICT design and construction administration for hyperscale data centers and global backbone network capacity enablement p
  8. Data center design or relevant structured cabling design certifications (eg. BICSI RCDD)
  9. Registered Professional Engineering (PE) licensure in Electrical or Mechanical disciplines
  10. Advanced degree in engineering discipline
  11. Familiarity with the Linux based systems and experience with scripting and automation (Bash, Python, Perl)
  12. Experience integrating AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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