{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/provisioning-and-imaging"},"x-facet":{"type":"skill","slug":"provisioning-and-imaging","display":"Provisioning And Imaging","count":1},"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_f67d7017-25c"},"title":"Software Engineer, System Enablement","description":"

We're looking for an engineer who can take early, sometimes messy, pre-production hardware and make it 'real': bootstrapped, stable, imaged, joined to the right Kubernetes control plane, registered correctly, scheduled, and observable.

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You'll sit at the intersection of early HW bring-up, provisioning automation, fleet/cluster management systems, and lab or cloud provider integration,turning new SKUs into capacity that is usable by internal customers.

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Key responsibilities include owning the end-to-end bring-up and bootstrap path for new systems and compute nodes from bare metal/early access in lab or production/cloud environments to schedulable fleet capacity: image build, user-data/config, cluster join, and readiness gates.

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You'll build and maintain 'first-class' golden image + provisioning workflows across lab, and production environments, including working with partner-provided base images and reconciling OS/version requirements.

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You'll work with partner teams to integrate nodes into our fleet infrastructure and IaC pipelines (Terraform, Chef, etc.), ensuring cloud resources map cleanly onto our internal lifecycle expectations (e.g., VMSS/instance pools, image references).

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You'll partner with scheduling and platform owners to ensure new hardware is reachable and scheduled (pool definitions, network/WAN connectivity/routing, admission controls, platform-specific quirks), including cases where new SKUs require changes for scheduling integration.

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You'll drive registration and inventory correctness (e.g., systems that track nodes and their metadata), including hands-on support to get nodes registered and visible end-to-end.

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You'll collaborate with partner teams to implement baseline health + telemetry bring-up: minimum viable health signals, pass/fail checks, and automated reporting suitable for early ramp decisions.

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You'll debug issues across layers: PXE/boot-loader, UEFI/BIOS, BMC, OS bring-up, NIC/network reachability, kubelet/control-plane connectivity, storage constraints, and early rack/lab realities.

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Requirements include a BS in CS/EE (or equivalent practical experience), 5+ years of experience in systems SW development and building/operating Linux-based infrastructure in production or pre-production environments.

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Strong, hands-on experience with Kubernetes cluster operations (node lifecycle, bootstrap/join, debugging control-plane connectivity), Infrastructure-as-Code / config management (Terraform, Chef/Ansible, etc.), Provisioning and imaging (PXE/iPXE, golden images, cloud-init/user-data), and Networking fundamentals (L2/L3, routing, DNS, fire-walling; comfort debugging reachability).

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Proven ability to write automation in Python/Go/Bash and ship operational tooling/run-books.

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Preferred skills include experience bringing up new hardware platforms (early silicon/servers/NICs) in a lab setting and turning them into stable fleet capacity, Multi-cloud operational experience (Azure/GCP/AWS/OCI), especially with compute pools (e.g., VMSS / instance pools), Experience building telemetry/health pipelines (agent-based metrics/logging, health rollups, readiness criteria), and Familiarity with WAN, peering, and multi-site network concepts for cluster deployments.

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XML job scraping automation by YubHub

","url":"https://yubhub.co/jobs/job_f67d7017-25c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/e1321408-91da-4ef3-8ac6-2e1da1be796f","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$293K – $455K","x-skills-required":["Kubernetes","Infrastructure-as-Code","Provisioning and imaging","Networking fundamentals","Automation in Python/Go/Bash"],"x-skills-preferred":["Experience bringing up new hardware platforms","Multi-cloud operational experience","Experience building telemetry/health pipelines","Familiarity with WAN, peering, and multi-site network concepts"],"datePosted":"2026-04-24T12:21:40.510Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Infrastructure-as-Code, Provisioning and imaging, Networking fundamentals, Automation in Python/Go/Bash, Experience bringing up new hardware platforms, Multi-cloud operational experience, Experience building telemetry/health pipelines, Familiarity with WAN, peering, and multi-site network concepts","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":455000,"unitText":"YEAR"}}}]}