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OpenShift Virtualization & Migration Engineer (remote)

Remote · Singapore Full-time

Job Title : OpenShift Virtualization & Migration Engineer (remote) Job Description : Key Skills & Experience Required OpenShift Container Platform (OCP) — hands-on administration on bare-metal on-prem (UPI/IPI), cluster lifecycle, upgrades, and multi-cluster operations. Red Hat Advanced Cluster Management (RH-ACM) — multi-cluster fleet management: cluster lifecycle, governance, and application deployment from a central hub. OpenShift Git Ops / Argo CD — declarative, Git-based management of cluster configuration, operators, and workloads across many clusters, including policy-driven governance. OpenShift Virtualization (OCP-Virt / Kube Virt) — deploying and operating VMs, live migration, VM templates, and instance types. Migration Toolkit for Virtualization (MTV) — hands-on migration experience from VMware vSphere and/or RHV. Kubernetes clusters and workloads; Red Hat Enterprise Linux (RHEL) administration. Guest OS breadth — both Linux and Windows VMs in containerized/virtualized environments. VMware vSphere — vCenter, ESXi, clusters, networking (vDS), and storage (vSphere datastore) — enough to plan and execute migrations from it. Automation — Red Hat Ansible Automation Platform and/or Python for infrastructure and migration automation. Networking & Storage fundamentals — OVN-Kubernetes, SDN, multi-path storage, ODF/Ceph, NFS/iSCSI/FC integration. Consulting skills — customer-facing communication, workshop facilitation, documentation, expectation management, and translating business requirements into technical solutions. Preferred / Nice to Have Experience operating large multi-cluster estates (15+ clusters / 5,000+ VMs) across multiple data centers or availability zones. Git Ops at fleet scale — Argo CD Application Sets, sync waves, and multi-tenant App Projects; Infrastructure-as-Code (Terraform); CI/CD pipeline exposure. Policy-as-code & compliance automation — Open Policy Agent / Gatekeeper, Compliance Operator, CIS benchmark scanning, and automated remediation at fleet scale. Observability — Prometheus, Grafana, OpenShift Monitoring, logging (Loki/EFK). Live migration at scale, workload density tuning, and performance baselining on bare metal

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