Senior Network Engineer

Nscale

$110K — $130K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience designing, deploying, and maintaining high-speed Ethernet networks.
  • Expertise in VLAN, LACP, MLAG, BGP, OSPF, EVPN, and VXLAN protocols.
  • In-depth knowledge of WAN technologies, including MPLS, BGP, IPsec, GRE, and SD-WAN.
  • Proficient in Python or Bash for network automation tasks.
  • Strong understanding of data center networking best practices and designs.
  • Hands-on experience with hardware selection and troubleshooting.

Responsibilities

  • Design and operate high-speed Ethernet networks for data centers and management.
  • Collaborate with deployment teams to finalize BOMs ensuring quality and compatibility.
  • Consult on data center layout and architecture for scalable network implementation.
  • Troubleshoot connectivity issues, addressing performance discrepancies within networks.
  • Automate network deployment and daily operations across various vendors.
  • Implement and manage WAN and long-haul connectivity solutions.
  • Work with Architecture and Operations for optimal network reliability and efficiency.

Benefits

  • Opportunities for professional development and ongoing learning.
  • Access to cutting-edge networking technologies and tools.
  • Supportive team environment fostering collaboration and innovation.
  • Flexible working arrangements to promote work-life balance.
Full Job Description
About the Role (Job Purpose)

The Network Engineering Team is responsible for the design, deployment, and ongoing operation of all front-end networking services that underpin both the internal management platform and the customer-facing cloud infrastructure. This includes high-speed Ethernet data center fabrics, internet transit, WAN/long-haul connectivity, and data center networking. The team acts as a 3rd/4th line escalation point for the support organization.
What You'll Be Doing (Responsibilities)
  • Designing, deploying, and operating high-speed Ethernet-based front-end networks (data centre fabrics, management networks, inference traffic paths, and storage connectivity)
  • Working with deployment teams to ensure BOMs are correct and fit for purpose, with strong focus on optics, cabling, and hardware selection
  • Providing input into DC layout, rack elevations, and reference architectures to ensure front-end networks are implemented correctly and scalably
  • Troubleshooting performance and connectivity issues on Ethernet front-end networks, including routing, optics, and long-haul circuits
  • Automating the deployment, initial stand-up, and day-to-day operations of multi-vendor Ethernet hardware and platforms
  • Designing, implementing, and supporting WAN and long-haul infrastructure (including carrier circuits, DCI, and internet transit)
  • Collaborating with Architecture and Operations teams to maintain high reliability, observability, and operational efficiency across front-end networks
About You (Skills / Qualifications / Experience)
  • Proven experience in designing, deploying, and operating high-speed Ethernet networks, including technologies such as VLAN, LACP, MLAG, BGP, OSPF, EVPN, and VXLAN
  • Strong knowledge of WAN and long-haul technologies, including MPLS, BGP, IPsec, GRE, SD-WAN, carrier Ethernet, and associated routing protocols
  • Solid understanding of data centre networking topologies and best practices for front-end / infrastructure networks
  • Strong Python or Bash scripting skills for automation and tooling
  • Strong optics and hardware knowledge to assist with BOM design, cabling standards, and troubleshooting
  • Experience working in fast-paced operational environments with a focus on reliability and automation
Nice to Have
  • Hands-on experience with Arista (EOS) and/or Nokia networking platforms
  • Experience with large-scale DCI, long-haul optical transport, or carrier circuit management
  • Familiarity with storage networking over Ethernet and shared storage connectivity
  • Experience with network automation frameworks, validation tooling, or observability platforms (e.g., streaming telemetry, Prometheus, Grafana)
  • Prior exposure to AI or hyperscale infrastructure environments

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