Company

MetaSee more

addressAddressMenlo Park, CA
type Form of workFull-Time
CategoryInformation Technology

Job description

Every day we strive to provide the best possible experience to our users that are now numbered in billions, and to make that possible, we have deployed an ultra-high capacity backbone network that spans the globe. We are looking for a Network Capacity Manager, Planning to join our Backbone team to support the expansion of our global network. This is an ideal role for a Capacity Manager who will be responsible for developing a network growth plan and be closely connected to the realization and deployment of the plan.

Network Capacity Manager, Planning Responsibilities:
  • Model and simulate network demands into a Capacity & Topology Plan for our Backbone (intra and inter DC/POP).
  • Work with large, complex data sets around the Facebook data infrastructure and solve difficult ad-hoc analysis problems.
  • Translate Layer 3 topology plan into engineering design packages by analyzing, distilling and publishing High Level Plans and Low Level Designs.
  • Develop, communicate, and coordinate network contingency plans and capacity augments.
  • Influence, asses, and support the development of new network hardware (IP and/or Optical) initiatives and evolving network topologies, identify areas of efficiency gain.
  • Lead incident response, postmortems, and production improvements that result in automated workflows and better detection/mitigation of Network Capacity constraints.
  • Develop framework for end-to-end availability and performance measurement of uptime of critical services and key network performance metrics.

Minimum Qualifications:
  • Minimum 3 years of experience in Network Operations, Deployment and/or Network Planning for large web-scale or equivalent network.
  • Knowledge of network infrastructure, including equipment and design principles for resiliency planning.
  • Experience in statistical data analysis (e.g. R, Python) and data-base languages (SQL).
  • Experience analyzing large data sets related to network engineering (network demand, utilization, deployment timelines) to discern key inputs, retain, and use data that highly impacts decisions.
  • Effective communication, experience explaining complex problems to partner teams.
  • 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:
  • Experience with use of network planning and inventory tools.
  • Experience with both terrestrial and submarine networks.
  • Preferred BS or MS in Engineering, Computer Science, or related field.

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Refer code: 8417751. Meta - The previous day - 2024-03-01 12:22

Meta

Menlo Park, CA
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