Leads data and analytics consulting for customers across industries, defining AI and data-use strategies, designing integrated solutions, and guiding adoption roadmaps while mentoring consultants.
About this role
This infrastructure engineer supports research-information platforms for public research organizations, including national laboratories and large national universities. The role covers systems for research users across the lifecycle from proposals and introduction to operation and maintenance, helping them produce, store, share, and publish results.
Work includes evaluating new technology, preparing RFI, RFC, and RFP proposals, building systems to specification, agreeing operating arrangements with customers, and handling inquiries, incidents, statistics, and regular meetings. The environment includes Linux, x86 servers, GPUs, Ethernet/InfiniBand switches, Lustre-style shared file systems, VMware, Hyper-V, KVM, LDAP, DNS, mail and web servers, HPC job schedulers, shell, and Python. Performance enhancement and technical validation are also included.
Required qualifications are at least five years of IT-industry SE experience, experience leading IT-infrastructure system introductions, and the ability to understand customer issues and needs through discussion.
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