{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/dwdm"},"x-facet":{"type":"skill","slug":"dwdm","display":"Dwdm","count":2},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a5430d30-778"},"title":"Network Engineer","description":"<p>About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>Responsibilities: We are looking for a Network Engineer to join our team (5+yrs). Cloudflare is building one of the largest, most resilient networks that spans over 335 cities spread across all regions and we plan to continue our expansion at a rapid pace. You will have the opportunity to (literally) build a faster, safer Internet for our millions of users and the billions of web surfers that visit their sites each month. This position will be responsible for:</p>\n<ul>\n<li>Technical operation and engineering of the Cloudflare network, including the provisioning and management of the network hardware and software,</li>\n<li>Day to day network operations and monitoring, working closely with internal teams such as System Reliability Engineering, Infrastructure Engineering and Customer Support teams,</li>\n<li>Creating and maintaining documentation, SOP’s, knowledge base,</li>\n<li>Interacting with our network peers to assist with their inquiries, and subsequently provide meaningful data on performance degradation.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Capable of learning new technologies / systems / features under guidance of mentors,</li>\n<li>Proficient in multiple network vendor operating systems , Associate level network certification(s) (JNCIA , CCNA , etc) or higher,</li>\n<li>Understanding of BGP, Knowledge of the OSI-model and experience isolating network, hardware and software issues,</li>\n<li>Experience writing scripts in Bash, Python, or other scripting language,</li>\n<li>Experience in working as part of a team in a customer-facing role,</li>\n<li>Ability to prioritise when faced with high pressure scenarios.</li>\n</ul>\n<p>Bonus Points but not required:</p>\n<ul>\n<li>Understanding of anycast routing,</li>\n<li>Good working knowledge of Junos, IOS-XR,NX-OS, EOS and SONIC,</li>\n<li>Experience writing network configuration and design documentation,</li>\n<li>Experience solving problems through automation,</li>\n<li>Experience with optical transport technologies such as CWDM/DWDM,</li>\n<li>Linux system administration,</li>\n<li>Multilingual.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a5430d30-778","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7628395","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["network vendor operating systems","Associate level network certification(s)","BGP","OSI-model","scripting languages (Bash, Python, etc.)","team collaboration","prioritization"],"x-skills-preferred":["anycast routing","Junos","IOS-XR","NX-OS","EOS","SONIC","network configuration and design documentation","problem-solving through automation","optical transport technologies (CWDM/DWDM)","Linux system administration","multilingual"],"datePosted":"2026-04-18T15:54:59.447Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"In-Office"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"network vendor operating systems, Associate level network certification(s), BGP, OSI-model, scripting languages (Bash, Python, etc.), team collaboration, prioritization, anycast routing, Junos, IOS-XR, NX-OS, EOS, SONIC, network configuration and design documentation, problem-solving through automation, optical transport technologies (CWDM/DWDM), Linux system administration, multilingual"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9cd0420a-99d"},"title":"Network Engineer, Capacity and Efficiency","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for a network engineer who thinks in metrics first. You will use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build the network observability stack. Design and deploy telemetry pipelines , sFlow/IPFIX, gNMI streaming, eBPF host probes , that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.</li>\n<li>Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.</li>\n<li>Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.</li>\n<li>Drive cost attribution. Tie network spend , egress, interconnect ports, transit, optical leases , back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.</li>\n<li>Influence decisions you don&#39;t own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 5+ years operating large-scale production networks , data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments.</li>\n<li>Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).</li>\n<li>Know at least one major CSP’s networking model deeply , AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) , and understand how their overlays interact with physical underlays.</li>\n<li>Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.</li>\n<li>Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.</li>\n<li>Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.</li>\n<li>Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>SRE experience for large-scale network infrastructure , designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.</li>\n<li>Background on a cloud provider&#39;s networking team or a cloud networking product team , building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.</li>\n<li>Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.</li>\n<li>Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.</li>\n<li>Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.</li>\n<li>Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.</li>\n<li>Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.</li>\n</ul>\n<p><strong>Representative Projects</strong></p>\n<ul>\n<li>Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it</li>\n<li>Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic</li>\n<li>Model whether it&#39;s cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity</li>\n<li>Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team&#39;s source of truth for network observability</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9cd0420a-99d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5177143008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["network engineering","network observability","telemetry pipelines","sFlow/IPFIX","gNMI streaming","eBPF host probes","BGP","ECMP","VXLAN/EVPN","QoS","DSCP","queuing","shaping","L1/optical basics","DWDM","coherent","LAGs","AWS","GCP","cloud networking","infrastructure-as-code","config management","automation","Python","Go","quantitative analysis","cost modeling","communication"],"x-skills-preferred":["SRE","cloud provider's networking team","cloud networking product team","AI/ML infrastructure traffic patterns","HPC fabrics","traffic engineering","multi-cloud connectivity","cost/chargeback systems","FinOps"],"datePosted":"2026-04-18T15:42:29.482Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"network engineering, network observability, telemetry pipelines, sFlow/IPFIX, gNMI streaming, eBPF host probes, BGP, ECMP, VXLAN/EVPN, QoS, DSCP, queuing, shaping, L1/optical basics, DWDM, coherent, LAGs, AWS, GCP, cloud networking, infrastructure-as-code, config management, automation, Python, Go, quantitative analysis, cost modeling, communication, SRE, cloud provider's networking team, cloud networking product team, AI/ML infrastructure traffic patterns, HPC fabrics, traffic engineering, multi-cloud connectivity, cost/chargeback systems, FinOps"}]}