{"schemaVersion":"jobsearcher.job.v1","id":"7dfeb7bb9ec696dfe52831f1","url":"https://jobsearcher.com/jobs/7dfeb7bb9ec696dfe52831f1","canonicalUrl":"https://jobsearcher.com/jobs/7dfeb7bb9ec696dfe52831f1","title":"Sr Domain\\Technical Architect","description":"Job Summary\n\nWe are seeking an experienced AI Factory Platform Operations Engineer to support deployment, operations, troubleshooting, and reliability of enterprise AI infrastructure. The role will focus on Linux-based infrastructure, Kubernetes and container platforms, networking, automation, monitoring, and operational support of AI/GPU environments. The engineer will work closely with infrastructure, network, DevOps, cloud, security, and engineering teams to maintain platform availability, resolve complex infrastructure issues, perform root cause analysis, and improve operational reliability.\n\nKey Responsibilities\n\nAI / GPU Infrastructure Operations Support day-to-day operations of AI infrastructure and GPU-based platforms. Perform infrastructure health checks,\n\nSkill Requirements\n\nStrong Linux administration: RHEL / Rocky Linux / Ubuntu Kubernetes administration and troubleshooting Docker / container runtime knowledge TCP/IP, DNS, routing, switching and load-balancing fundamentals Shell/Bash scripting Linux performance and log analysis Incident management and RCA Git/version control Infrastructure monitoring and troubleshooting The existing JD specifically calls for production Kubernetes experience including architecture, networking, storage, RBAC, pod lifecycle and cluster upgrades.\n\nMust Have Skill\nMicrosoft Azure,Red Hat Cluster,Ansible,Kubernetes\nGood to Have Skill\nOther Requirements\n\nAI Infrastructure / GPU platform exposure NVIDIA/GPU infrastructure concepts Prometheus / Grafana / Splunk / Datadog / Dynatrace Ansible / Terraform AWS / Azure / GCP CI/CD and DevOps practices Infrastructure-as-Code Experience working in large-scale production environments","company":"Hcltech2","rawCompany":"hcltech2","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-07T09:59:46.857Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Domain\\Technical Architect","description":"Job Summary\n\nWe are seeking an experienced AI Factory Platform Operations Engineer to support deployment, operations, troubleshooting, and reliability of enterprise AI infrastructure. The role will focus on Linux-based infrastructure, Kubernetes and container platforms, networking, automation, monitoring, and operational support of AI/GPU environments. The engineer will work closely with infrastructure, network, DevOps, cloud, security, and engineering teams to maintain platform availability, resolve complex infrastructure issues, perform root cause analysis, and improve operational reliability.\n\nKey Responsibilities\n\nAI / GPU Infrastructure Operations Support day-to-day operations of AI infrastructure and GPU-based platforms. Perform infrastructure health checks,\n\nSkill Requirements\n\nStrong Linux administration: RHEL / Rocky Linux / Ubuntu Kubernetes administration and troubleshooting Docker / container runtime knowledge TCP/IP, DNS, routing, switching and load-balancing fundamentals Shell/Bash scripting Linux performance and log analysis Incident management and RCA Git/version control Infrastructure monitoring and troubleshooting The existing JD specifically calls for production Kubernetes experience including architecture, networking, storage, RBAC, pod lifecycle and cluster upgrades.\n\nMust Have Skill\nMicrosoft Azure,Red Hat Cluster,Ansible,Kubernetes\nGood to Have Skill\nOther Requirements\n\nAI Infrastructure / GPU platform exposure NVIDIA/GPU infrastructure concepts Prometheus / Grafana / Splunk / Datadog / Dynatrace Ansible / Terraform AWS / Azure / GCP CI/CD and DevOps practices Infrastructure-as-Code Experience working in large-scale production environments","datePosted":"2026-11-07T09:59:46.857Z","dateModified":"2026-11-07T09:59:46.857Z","hiringOrganization":{"@type":"Organization","name":"Hcltech2","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7dfeb7bb9ec696dfe52831f1"},"url":"https://jobsearcher.com/jobs/7dfeb7bb9ec696dfe52831f1"}}