{"schemaVersion":"jobsearcher.job.v1","id":"af0a2dd8f45bc76c254e6824","url":"https://jobsearcher.com/jobs/af0a2dd8f45bc76c254e6824","canonicalUrl":"https://jobsearcher.com/jobs/af0a2dd8f45bc76c254e6824","title":"Front-End Network Engineer","description":"Front-End Network Engineer, AI Infrastructure Operations\n\nLocation: Remote\nJob Type: Full time\n\nAbout Us\nBridge Source Utilities Solutions is a Smart Grid Advisory & Strategic Staffing Solutions firm focused on connecting multinational Utility corporations with exceptional human beings. Founded in 2012 with the vision to assist companies and resources to develop a clear path for achieving their goals, BridgeSource provides advice and a connect workforce in the areas of grid modernization, technology transformations, project management, change adoption, distribution operations, and capital investment planning.\n\nPosition Overview\nOur client provides cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. They enable AI-focused companies to achieve superior results by reducing the complexity of AI development. Their GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.\n\nOur Client’s Network Operations and Engineering teams operate some of the most demanding networking environments in the industry, supporting large-scale AI GPU clusters where network performance directly impacts customer outcomes.\n\nThe 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.\n\nKEY RESPONSIBILITIES\nDesigning, deploying, and operating high-speed Ethernet-based front-end networks (data centre fabrics, management networks, inference traffic paths, and storage connectivity)\nWorking with deployment teams to ensure BOMs are correct and fit for purpose, with strong focus on optics, cabling, and hardware selection\nProviding input into DC layout, rack elevations, and reference architectures to ensure front-end networks are implemented correctly and scalably\nTroubleshooting performance and connectivity issues on Ethernet front-end networks, including routing, optics, and long-haul circuits\nAutomating the deployment, initial stand-up, and day-to-day operations of multi-vendor Ethernet hardware and platforms\nDesigning, implementing, and supporting WAN and long-haul infrastructure (including carrier circuits, DCI, and internet transit)\nCollaborating with Architecture and Operations teams to maintain high reliability, observability, and operational efficiency across front-end networks\n\nQUALIFICATIONS\nProven experience in designing, deploying, and operating high-speed Ethernet networks, including technologies such as VLAN, LACP, MLAG, BGP, OSPF, EVPN, and VXLAN\nStrong knowledge of WAN and long-haul technologies, including MPLS, BGP, IPsec, GRE, SD-WAN, carrier Ethernet, and associated routing protocols\nSolid understanding of data centre networking topologies and best practices for front-end / infrastructure networks\nStrong Python or Bash scripting skills for automation and tooling\nStrong optics and hardware knowledge to assist with BOM design, cabling standards, and troubleshooting\nExperience working in fast-paced operational environments with a focus on reliability and automation\nPreferred Qualifications (Nice to have):\nHands-on experience with Arista (EOS) and/or Nokia networking platforms\nExperience with large-scale DCI, long-haul optical transport, or carrier circuit management\nFamiliarity with storage networking over Ethernet and shared storage connectivity\nExperience with network automation frameworks, validation tooling, or observability platforms (e.g., streaming telemetry, Prometheus, Grafana)\nPrior exposure to AI or hyperscale infrastructure environments","company":"Bridgesourcesolutions","rawCompany":"bridgesourcesolutions","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T00:14:54.458Z","occupations":[{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1241.00","title":"Computer Network Architects","slug":"computer-network-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541513","title":"Computer Facilities Management Services","slug":"computer-facilities-management-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Front-End Network Engineer","description":"Front-End Network Engineer, AI Infrastructure Operations\n\nLocation: Remote\nJob Type: Full time\n\nAbout Us\nBridge Source Utilities Solutions is a Smart Grid Advisory & Strategic Staffing Solutions firm focused on connecting multinational Utility corporations with exceptional human beings. Founded in 2012 with the vision to assist companies and resources to develop a clear path for achieving their goals, BridgeSource provides advice and a connect workforce in the areas of grid modernization, technology transformations, project management, change adoption, distribution operations, and capital investment planning.\n\nPosition Overview\nOur client provides cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. They enable AI-focused companies to achieve superior results by reducing the complexity of AI development. Their GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.\n\nOur Client’s Network Operations and Engineering teams operate some of the most demanding networking environments in the industry, supporting large-scale AI GPU clusters where network performance directly impacts customer outcomes.\n\nThe 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.\n\nKEY RESPONSIBILITIES\nDesigning, deploying, and operating high-speed Ethernet-based front-end networks (data centre fabrics, management networks, inference traffic paths, and storage connectivity)\nWorking with deployment teams to ensure BOMs are correct and fit for purpose, with strong focus on optics, cabling, and hardware selection\nProviding input into DC layout, rack elevations, and reference architectures to ensure front-end networks are implemented correctly and scalably\nTroubleshooting performance and connectivity issues on Ethernet front-end networks, including routing, optics, and long-haul circuits\nAutomating the deployment, initial stand-up, and day-to-day operations of multi-vendor Ethernet hardware and platforms\nDesigning, implementing, and supporting WAN and long-haul infrastructure (including carrier circuits, DCI, and internet transit)\nCollaborating with Architecture and Operations teams to maintain high reliability, observability, and operational efficiency across front-end networks\n\nQUALIFICATIONS\nProven experience in designing, deploying, and operating high-speed Ethernet networks, including technologies such as VLAN, LACP, MLAG, BGP, OSPF, EVPN, and VXLAN\nStrong knowledge of WAN and long-haul technologies, including MPLS, BGP, IPsec, GRE, SD-WAN, carrier Ethernet, and associated routing protocols\nSolid understanding of data centre networking topologies and best practices for front-end / infrastructure networks\nStrong Python or Bash scripting skills for automation and tooling\nStrong optics and hardware knowledge to assist with BOM design, cabling standards, and troubleshooting\nExperience working in fast-paced operational environments with a focus on reliability and automation\nPreferred Qualifications (Nice to have):\nHands-on experience with Arista (EOS) and/or Nokia networking platforms\nExperience with large-scale DCI, long-haul optical transport, or carrier circuit management\nFamiliarity with storage networking over Ethernet and shared storage connectivity\nExperience with network automation frameworks, validation tooling, or observability platforms (e.g., streaming telemetry, Prometheus, Grafana)\nPrior exposure to AI or hyperscale infrastructure environments","datePosted":"2026-08-04T00:14:54.458Z","dateModified":"2026-08-04T00:14:54.458Z","hiringOrganization":{"@type":"Organization","name":"Bridgesourcesolutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"af0a2dd8f45bc76c254e6824"},"url":"https://jobsearcher.com/jobs/af0a2dd8f45bc76c254e6824"}}