Strong working knowledge of HPC architecture, Linux operating systems, schedulers, high-speed networking, parallel file systems, storage platforms, GPUs, CPUs, drivers, firmware, configuration management, monitoring, automation, data movement, data adjacency, enclave capabilities, and secure multi-user computing environments. Experience supporting scientific software environments, including schedulers, modules, containers, compilers, MPI libraries, GPU software stacks, Open OnDemand, Globus or other data transfer tools, researcher applications, and software lifecycle practices in multi-user scientific computing environments.