2 of 2 Server Virtualisation Jobs in the East of England

Sales activities & consulting projects covering enterprise servers, storage, and networking technologies in addition to at least three or more of the following disciplines: Server, Storage & Network Virtualization & Consolidation (focused primarily on HPE Solutions, but other OEM experience is a plus) VMware, Microsoft End User Computing: Virtual Desktop Infrastructure …/or Experience B.A. degree in Computer Engineering or related field or equivalent experience; minimum of 5 years of relevant technical experience with Server Virtualization, Consolidation, Storage Virtualization and Backup, knowledge in Multiple OS, Storage, and Enterprise Backup Solutions (EBS), certifications. Skills, Knowledge and Abilities Able to exercise … or engineering decision makers. Ability to Develop, Create and respond to Technical Requests for Proposals (RFP's) Ability to Design and Create Complex Server & Storage Assessment Documents as well as Disaster Recovery Plans. Certifications HPE APP and APC certifications. HPE ASE or MASE is a plus VMware VTSP More ❯

What will I be doing: Darktrace is seeking an experienced Infrastructure Engineer to manage, maintain, and optimize a dedicated NVIDIA GPU server and cloud environments for innovation projects. Responsibilities include setting up, configuring, and maintaining the servers and software stack. A successful candidate will work directly with Darktrace … access, and ensuring optimal performance) and cloud infrastructure for GPU compute projects (managing access and ensuring optimal performance). Additional responsibilities include: Monitoring server and application performance, identifying bottlenecks, and taking corrective actions to maintain high availability, Implementing and maintaining server security, including patch management, vulnerability … scanning, and intrusion detection, Collaborating with network administrators, hardware engineers, and researchers to troubleshoot and resolve server and software-related issues, Working closely with the project manager to ensure efficient resource allocation, server utilisation and scaling across multiple teams, Collaborating with data scientists and machine learning More ❯