Network Production Engineer (University Grad)

Meta

$90K — $110K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience in learning new network design and management concepts
  • Familiarity with UNIX, TCP/IP, and networking fundamentals
  • Valid work authorization in the employment country at the time of hiring
  • Background in computer networks
  • Proficient in at least one programming language (Python, Golang, Rust, C++)
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field (to be completed before joining)

Responsibilities

  • Build experience through rotations in Backbone, Data Center, and Network Infrastructure Engineering teams
  • Manage and maintain a multi-vendor, multi-protocol data center and backbone networks
  • Develop optimized network monitoring systems for performance oversight
  • Design and deploy innovative network architectures
  • Automate mitigation and remediation of network issues
  • Analyze data to troubleshoot and identify root causes of network problems
  • Engage in deep technical discussions and strategy sessions

Benefits

  • Opportunities for ongoing learning and development
  • Collaborative work environment
  • Exposure to cutting-edge technology and large-scale network management
  • Chance to work on a fast-paced, dynamic network
  • Involvement in projects aimed at improving global connectivity
Full Job Description
This will be your network and it is constantly growing. Your primary function will be to ensure that the network is reliable, robust and can scale to meet the challenges that serving over a billion users presents. Automation and continuous improvement are the keys to meeting our demands; you will be responsible for developing and deploying network designs, automation systems and network performance improvements into our production network. Do you feel that you can do more than what your network's growth allows? Do you want to solve problems that can only be seen in large scale environments? Do you want to work on one of the most dynamic, fast-paced networks in the world? Do you want to help in our mission to make the world more open and connected? Then this is the role for you!

Responsibilities

Build experience with Backbone, Data Center, and Network Infrastructure Engineering teams through rotational experiences during your first year
• Build, manage and maintain multi-vendor, multi-protocol data center and backbone networks
• Develop optimized network monitoring systems
• Design, and deploy new network architectures
• Develop automated methods to mitigate and remediate network events
• Analyze data to diagnose and identify root causes to network issues
• Be an active participant in deep technical discussions
• Develop and maintain consistency within the network infrastructure

Minimum Qualifications
• Experience learning new concepts around network design and management
• Experience with UNIX, TCP/IP, network fundamentals, or similar
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Experience with computer networks
• Experience coding in at least one language (Python/Golang/Rust/C++ are all in use)
• 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
• Knowledge of Switching and Routing concepts and implementation
• Knowledge of routing protocols BGP, OSPF and ISIS
• Knowledge of tunneling protocols MPLS, GRE, IPnIP
• 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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