is a great opportunity to join a collaborative team focused on innovation, automation, and service excellence. Key Responsibilities: Manage and operate cloud and virtualisation infrastructure (e.g. VMware, Hyper-V, KVM). Support cloud migration projects across platforms like AWS, Azure, and Google Cloud. Design scalable, secure, and cost-effective cloud solutions. Implement Infrastructure-as-Code (IaC) using tools like Terraform More ❯
to succeed Works well under pressure to meet deadlines Rapid adaptability in terms of technology and approach are key Desirable Skills and Technologies: Either strong Linux sys admin and KVM skills or VMware - ESX, vCentre, Clustering, HA, DRS, vRealize, Update Manager, hardening, storage integration, deep trouble shooting A proven track record in technical computing-based environments A deep understanding More ❯
clusters. •Configure underlay and overlay protocols including BGP, OSPF, IS-IS, and troubleshoot connectivity and control-plane issues. •Integrate data center fabric with virtualization platforms such as VMware NSX, KVM, and Hyper-V, as well as Kubernetes-based AI infrastructure. •Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference More ❯
clusters. •Configure underlay and overlay protocols including BGP, OSPF, IS-IS, and troubleshoot connectivity and control-plane issues. •Integrate data center fabric with virtualization platforms such as VMware NSX, KVM, and Hyper-V, as well as Kubernetes-based AI infrastructure. •Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference More ❯
clusters. •Configure underlay and overlay protocols including BGP, OSPF, IS-IS, and troubleshoot connectivity and control-plane issues. •Integrate data center fabric with virtualization platforms such as VMware NSX, KVM, and Hyper-V, as well as Kubernetes-based AI infrastructure. •Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference More ❯
london (city of london), south east england, united kingdom
HCLTech
clusters. •Configure underlay and overlay protocols including BGP, OSPF, IS-IS, and troubleshoot connectivity and control-plane issues. •Integrate data center fabric with virtualization platforms such as VMware NSX, KVM, and Hyper-V, as well as Kubernetes-based AI infrastructure. •Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference More ❯
