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Remote
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Responsibilities:

  • Build and utilize capacity dashboards to proactively identify and address network stockout issues. Investigate and resolve network incidents, outages, and connectivity problems related to customer capacity limitations.
  • Review network traffic, bandwidth utilization, latency and identify potential capacity constraints. Monitor customer usage patterns and proactively identify potential capacity needs.
  • Collaborate with the Operations Lead, customer engineers, and other team members to diagnose and resolve complex issues affecting customer capacity.
  • Apply troubleshooting methodologies and best practices to restore services and customer capacity quickly.
  • Maintain accurate and up-to-date network documentation, including diagrams, configurations, and troubleshooting guides, with a focus on customer capacity details.
  • Document incidents, resolutions, and capacity-related changes in a knowledge base to facilitate future troubleshooting and capacity planning efforts.

Qualifications:

  • Education: Associate's degree in Computer Science, Networking, or a related field.
  • Experience:
    • 5+ years of experience in network operations or a related field, with a focus on cloud environments.
    • Experience with cloud networking platforms (e.g., AWS, Azure).
    • Familiarity with network monitoring and troubleshooting tools.
    • Experience working with customer support or customer success teams.
    • Experience with AI/Automation tools and technologies
  • Skills:
    • Strong understanding of network protocols and technologies (TCP/IP, routing, switching).
    • Proficiency in troubleshooting network issues at various layers (physical, data link, network).
    • Ability to work independently and as part of a team.
    • Excellent communication and customer service skills.
  • Preferred:
    • Certifications in networking (e.g., CCNA, Network+).
    • Experience with scripting or automation tools for capacity management.
    • Knowledge of cloud capacity planning and scaling best practices.

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