{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/kubernetes-at-scale"},"x-facet":{"type":"skill","slug":"kubernetes-at-scale","display":"Kubernetes At Scale","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_a14533c3-732"},"title":"Senior Engineer, Cilium CNI & Cloud Networking","description":"<p>Network Services Team</p>\n<p>The Network Services team builds and operates the foundational networking that powers CoreWeave&#39;s Kubernetes platforms at cloud scale. The team is responsible for container networking, connectivity, and network services that support large-scale, GPU-driven workloads across regions and environments. They focus on scalability, reliability, security, and performance while delivering intuitive platforms for internal teams and customers.</p>\n<p>About the Role</p>\n<p>As a Senior Engineer focused on our Cilium-based CNI, you will design, build, and operate the container networking layer that underpins CoreWeave&#39;s Kubernetes platforms. Day to day, you will work on evolving our CNI stack to support large, high-density GPU clusters with demanding throughput and latency requirements. You will partner closely with Kubernetes, Infrastructure, and Network Services engineers to ensure the platform is highly available, observable, and secure. This role spans architecture, implementation, and operations, with ownership from prototype through production. You will also help shape how our networking platform scales for future growth.</p>\n<p>Who You Are</p>\n<ul>\n<li>5+ years of experience as a Software Engineer or Systems Engineer working on cloud infrastructure or large-scale distributed systems.</li>\n<li>Hands-on production experience with Cilium CNI (or equivalent advanced CNIs), including cluster configuration and lifecycle management.</li>\n<li>Strong understanding of Cilium&#39;s eBPF datapath, policy model, and load-balancing mechanisms.</li>\n<li>Deep knowledge of cloud networking concepts, including VPCs, subnets, routing, security groups/ACLs, NAT, and ingress/egress architectures.</li>\n<li>Experience designing multi-tenant network architectures with strong isolation and security.</li>\n<li>Solid grounding in TCP/IP, dynamic routing (e.g., BGP), ECMP, MTU/fragmentation, and overlay/underlay networking (VXLAN, Geneve, encapsulation).</li>\n<li>Experience with network observability and troubleshooting across L3–L7.</li>\n<li>Proficiency in at least one systems language such as Golang or C/C++.</li>\n<li>Experience working in modern CI/CD environments.</li>\n<li>Experience operating Kubernetes at scale, including cluster lifecycle management and debugging networking issues across pods, nodes, and external services.</li>\n<li>Demonstrated ownership of complex systems end-to-end.</li>\n</ul>\n<p>Preferred</p>\n<ul>\n<li>Experience operating cloud-scale network services across tens of thousands of nodes and multiple regions.</li>\n<li>Contributions to Cilium, Kubernetes, or related open-source networking projects.</li>\n<li>Experience with eBPF development and performance tuning.</li>\n<li>Experience building Kubernetes operators or controllers.</li>\n<li>Familiarity with service meshes, multi-cluster networking, or cluster mesh solutions.</li>\n<li>Experience in GPU-heavy, HPC, or other performance-sensitive environments.</li>\n</ul>\n<p>Wondering if you’re a good fit?</p>\n<p>We believe in investing in our people and value candidates who bring diverse experiences , even if you’re not a 100% match on paper. If some of this sounds like you, we’d love to talk.</p>\n<ul>\n<li>You love solving complex distributed systems and networking challenges at scale.</li>\n<li>You’re curious about cloud-native networking, eBPF, and Kubernetes internals.</li>\n<li>You’re an expert in building reliable, scalable infrastructure that runs in production.</li>\n</ul>\n<p>Why CoreWeave?</p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n<li>Act Like an Owner</li>\n<li>Empower Employees</li>\n<li>Deliver Best-in-Class Client Experiences</li>\n<li>Achieve More Together</li>\n</ul>\n<p>The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance</li>\n<li>100% paid for by CoreWeave</li>\n<li>Company-paid Life Insurance</li>\n<li>Voluntary supplemental life insurance</li>\n<li>Short and long-term disability insurance</li>\n<li>Flexible Spending Account</li>\n<li>Health Savings Account</li>\n<li>Tuition Reimbursement</li>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n<li>Mental Wellness Benefits through Spring Health</li>\n<li>Family-Forming support provided by Carrot</li>\n<li>Paid Parental Leave</li>\n<li>Flexible, full-service childcare support with Kinside</li>\n<li>401(k) with a generous employer match</li>\n<li>Flexible PTO</li>\n<li>Catered lunch each day in our office and data center locations</li>\n<li>A casual work environment</li>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</p>\n<p>California Consumer Privacy Act - California applicants only</p>\n<p>CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.</p>\n<p>Export Control Compliance</p>\n<p>This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.</p>\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_a14533c3-732","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4653971006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,000 to $242,000","x-skills-required":["Cilium CNI","cloud infrastructure","large-scale distributed systems","container networking","connectivity","network services","Kubernetes","eBPF datapath","policy model","load-balancing mechanisms","cloud networking concepts","VPCs","subnets","routing","security groups/ACLs","NAT","ingress/egress architectures","TCP/IP","dynamic routing","ECMP","MTU/fragmentation","overlay/underlay networking","Golang","C/C++","CI/CD environments","Kubernetes at scale","cluster lifecycle management","debugging networking issues"],"x-skills-preferred":["cloud-scale network services","Cilium","eBPF development","performance tuning","Kubernetes operators","controllers","service meshes","multi-cluster networking","cluster mesh solutions","GPU-heavy","HPC","performance-sensitive environments"],"datePosted":"2026-04-18T15:47:58.336Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cilium CNI, cloud infrastructure, large-scale distributed systems, container networking, connectivity, network services, Kubernetes, eBPF datapath, policy model, load-balancing mechanisms, cloud networking concepts, VPCs, subnets, routing, security groups/ACLs, NAT, ingress/egress architectures, TCP/IP, dynamic routing, ECMP, MTU/fragmentation, overlay/underlay networking, Golang, C/C++, CI/CD environments, Kubernetes at scale, cluster lifecycle management, debugging networking issues, cloud-scale network services, Cilium, eBPF development, performance tuning, Kubernetes operators, controllers, service meshes, multi-cluster networking, cluster mesh solutions, GPU-heavy, HPC, performance-sensitive environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":242000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_08a6be76-15d"},"title":"Engineering Manager, Cloud Infrastructure Automation","description":"<p><strong>Engineering Manager, Cloud Infrastructure Automation</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Cloud Infrastructure team builds and operates the foundational platform that powers OpenAI’s production AI systems. We own large-scale Kubernetes platforms, cluster lifecycle and upgrades, global networking and traffic routing, service mesh, and the automation and guardrails that make the system reliable, secure, and scalable by default.</p>\n<p>Our mission is to make infrastructure predictable and boring at massive scale—so research and product teams can move fast without compromising safety, reliability, or efficiency. We operate at the intersection of platform engineering, distributed systems, and global networking, supporting products used by millions of users worldwide.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Senior Engineering Manager to lead core Cloud Infrastructure teams responsible for OpenAI’s Kubernetes-based platform. This role is fundamentally about platform leadership: building teams, setting technical direction, and delivering infrastructure primitives that scale with OpenAI’s growth.</p>\n<p>You will manage engineers working on cluster lifecycle, infrastructure automation, reliability mechanisms, and networking foundations. You will partner closely with adjacent infrastructure, security, and product teams to ensure the platform can support rapid expansion in scale, regions, and workloads.</p>\n<p>This is a high-ownership leadership role with direct responsibility for production systems operating at extreme scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build, lead, and grow high-performing infrastructure engineering teams.</li>\n</ul>\n<ul>\n<li>Own the evolution of OpenAI’s Kubernetes platform, including cluster lifecycle, upgrades, configuration standards, and safety mechanisms.</li>\n</ul>\n<ul>\n<li>Set and enforce platform-level reliability goals (SLIs/SLOs), ensuring reliability is designed into the system.</li>\n</ul>\n<ul>\n<li>Drive infrastructure automation across provisioning, upgrades, remediation, and fleet consistency using Terraform and internal tooling.</li>\n</ul>\n<ul>\n<li>Reduce operational toil and incident frequency through better abstractions, guardrails, and self-healing systems.</li>\n</ul>\n<ul>\n<li>Establish clear ownership boundaries, technical direction, and execution discipline.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have significant experience managing infrastructure or platform engineering teams.</li>\n</ul>\n<ul>\n<li>Bring deep hands-on understanding of Kubernetes at scale and distributed systems.</li>\n</ul>\n<ul>\n<li>Have operated production infrastructure with strict reliability, latency, and security requirements.</li>\n</ul>\n<ul>\n<li>Can balance technical depth with organizational leadership and long-term strategy.</li>\n</ul>\n<ul>\n<li>Have a strong track record of hiring, developing, and retaining senior engineers.</li>\n</ul>\n<ul>\n<li>Are comfortable operating in ambiguous, fast-moving environments and creating clarity for others.</li>\n</ul>\n<p><strong>Technical Environment</strong></p>\n<ul>\n<li>Kubernetes across many clusters and regions</li>\n</ul>\n<ul>\n<li>Service mesh (Istio / Envoy)</li>\n</ul>\n<ul>\n<li>Global networking and load balancing (Cloudflare, cloud-native primitives)</li>\n</ul>\n<ul>\n<li>Infrastructure-as-code (Terraform) and internal automation</li>\n</ul>\n<ul>\n<li>Observability via metrics, logging, and tracing</li>\n</ul>\n<ul>\n<li>Large-scale production systems with high reliability and safety requirements</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\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_08a6be76-15d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/dbc90441-2c81-44e6-bbf1-27f9d3b4af80","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $385K • Offers Equity","x-skills-required":["Kubernetes","Distributed systems","Cloud infrastructure","Infrastructure automation","Reliability mechanisms","Networking foundations","Terraform","Internal tooling","Observability","Metrics","Logging","Tracing"],"x-skills-preferred":["Kubernetes at scale","Distributed systems","Cloud infrastructure","Infrastructure automation","Reliability mechanisms","Networking foundations","Terraform","Internal tooling","Observability","Metrics","Logging","Tracing"],"datePosted":"2026-03-06T18:25:51.739Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Distributed systems, Cloud infrastructure, Infrastructure automation, Reliability mechanisms, Networking foundations, Terraform, Internal tooling, Observability, Metrics, Logging, Tracing, Kubernetes at scale, Distributed systems, Cloud infrastructure, Infrastructure automation, Reliability mechanisms, Networking foundations, Terraform, Internal tooling, Observability, Metrics, Logging, Tracing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":385000,"unitText":"YEAR"}}}]}