Network Engineer, Deployment & Support

Meta

$95K — $115K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in large-scale network design and operations
  • Proficient in configuring and troubleshooting advanced routing and switching protocols (BGP, MPLS)
  • Knowledgeable in network communication protocols (TCP/UDP, DNS, DHCP)
  • Hands-on experience with various networking hardware in a multi-vendor setup
  • Experience with physical infrastructure design, including structured and fiber-optic cabling
  • Demonstrated ability to manage multiple projects and meet critical deadlines
  • Currently pursuing a Bachelor's degree in a related field or equivalent experience, required before joining.

Responsibilities

  • Deploy, configure, and manage network infrastructure at the data center campus
  • Collaborate with partner teams and vendors for operational reliability of the network
  • Schedule and conduct maintenance activities including upgrades and decommissioning
  • Create deployment packages and maintain documentation for network assets
  • Implement global best practices and assist in scalable network solution design
  • Support development and integration of new hardware and software platforms
  • Participate in a 24/7 on-call rotation for network infrastructure support
  • Travel up to 30% for project-related needs.

Benefits

  • Flexible work hours and potential for remote work
  • Exposure to cutting-edge technology and global best practices
  • Collaborative work environment with multidisciplinary teams
  • Opportunities for continued education and professional development
  • Access to innovative tools and resources for career growth.
Full Job Description
Responsibilities

Deployment, configuration, and management of all network infrastructure on our datacenter campus
• Work with partner teams and vendors to manage day-to-day operations and reliability of the regional network
• Schedule and perform maintenance including upgrades, migrations, and decommissioning of production networks
• Create deployment packages and maintain as-built documentation and asset database for installed network gear
• Establish and implement global best practices and contribute to the design of new scalable network solutions
• Support the development, testing and integration of new hardware and software platforms into the network
• Participate in an on-call rotation to support the regional network infrastructure 24/7
• 10% of travel required, up to 30% based on projects

Minimum Qualifications
• 4+ years of work experience responsible for designing, deploying and operating large-scale networks
• Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, MPLS, RSVP-TE, VRRP)
• Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6
• Experience working in a multi-vendor environment with hands-on experience with networking hardware
• Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling
• Proven experience managing multiple projects simultaneously and deliver against mission critical deadlines
• Proven experience working in a global team environment and solving problems with limited supervision
• 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

Preferred Qualifications
• Technical leadership and people management experience
• Working knowledge of data center power and cooling infrastructure and critical facility operational best practices
• Experience with field-based work in Data Centers, Colocation Facilities, Internet Exchanges, or Central Offices
• Familiarity with the Linux based systems and experience with scripting and automation (Bash, Python, Perl)
• Working knowledge of 40/100G Ethernet and CWDM, DWDM and optical transport network technologies
• 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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