Network Engineer, Operations & Support (subsea)

Meta Meta · Big Tech · Dublin, Ireland +1

This role is for a Subsea Network Operations Engineer responsible for the operational support of Meta's subsea network. The role involves managing network performance, coordinating with vendors, providing technical support, and collaborating with various teams on deployments and documentation. While the job posting mentions integrating AI tools and adhering to AI practices, the core responsibilities and domain are in network operations, not AI/ML development.

What you'd actually do

  1. Manage subsea network performance and operations
  2. Act as O&M SME for contracting and provide consultative O&M guidance to internal Meta teams
  3. Run turnkey projects. Receive/review designs from engineering and run field deployments as needed
  4. Coordinate regular meetings with vendors and have a familiarity with the contracts and drive measurable statistics against them
  5. Technical support to drive subsea contractor teams for network restoration, subsea performance test and engineering services for our global submarine deployments

Skills

Required

  • Experience in Subsea Operations, Deployments, and Technology
  • Experience with all possible wet plant failure mechanisms and how to diagnose and accurately locate faults whether electrical or optical
  • Experience managing and operating wet plant including BU’s, WSS ROADMs and Repeaters
  • Familiarity with DCN operations, management, network security and architectures
  • Hands-on experience with CLS tools and test equipment, in managing landing party use and setup of equipment during repairs
  • CLS management experience including facilities maintenance and security
  • Prior experience managing PFE and troubleshooting complex subsea power and grounding issues
  • Experience in Subsea O&M including (but not limited to), contracting, marine repair and maintenance (including depot testing and sparing), marine repair dispatch and spares loading
  • Technical experience in telecommunication networks in the subsea optical transport networks including DWDM, network infrastructures, IP Networking equipment, optical testing, optical measurement principles, experience with photonic layer
  • Experience understanding architecture for system dependencies and translate these into deployable solutions
  • Repair Function: 5 years of logical troubleshooting and physical repair with an understanding of physical infrastructure such as cable types, connector types, optic types, racks, patch panels, power/cooling, hardware components, and facility infrastructure
  • Data Design: Basic knowledge applying data led analysis and leveraging technologies like machine learning and predictive modeling algorithms to solve complex business problems
  • 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

Nice to have

  • Experience identifying key metrics/measures that will be used to evaluate success and validate the business impact of the program

What the JD emphasized

  • 5 years of industry experience
  • 10+ years industry experience