MGIS is seeking a System Administrator, Level 2, to manage High Performance Computing (HPC) clusters and support the scientists who rely on them. This role blends HPC system administration with hands-on user support — helping researchers install, run, and debug applications on HPC infrastructure so they can focus on their science instead of IT issues.

HPC environments in scope include clustered CPU/GPU systems with job schedulers and attached parallel storage (e.g., Lustre, GPFS).

What you'll be doing

HPC Administrator duties

- Maintain the HPC cluster — hardware, image management, local networking, scheduler, and backups

- Troubleshoot setting incidents to ensure a quick return to normal operations

HPC Analyst duties

- Meet with scientists to evaluate their HPC support requirements

- Develop task plans to meet researchers' needs, consulting the technical authority for approval

- Support application builds, installs, and runtime troubleshooting (GNU, Intel, Fortran, Nvidia)

- Support open-source and commercial software, including Python/Anaconda installs, Bash scripting, build/make tools, EasyBuild, Spack, and MPI implementations (MPICH, OpenMPI, IntelMPI, HPMPI)

- Assist with compilation and runtime of in-house developed applications

General systems management

- Manage Linux OS patching schedules and reliability

- Manage user accounts (creation, deletion) and environment modules





- Manage configuration via Git, MS DevOps, and Ansible Playbooks

- Manage RPM/DEB packages and troubleshoot ThinLinc

Troubleshooting & hardware

- Troubleshoot jobs on schedulers (PBS Pro/Torque, SLURM, SGE)

- Ensure reliable CUDA installs; troubleshoot GPU failures and CUDA software/driver issues

- Provide hardware support — memory upgrades, storage arrays, power/network cabling, ILO

Documentation

- Document every process and task to support enterprise knowledge continuity

- Submit weekly progress reports to the Technical Authority

Requirements

What we're looking for

- Solid experience administering Linux-based HPC clusters (CPU/GPU nodes, schedulers, parallel storage)

- Hands-on experience with job schedulers such as PBS Pro/Torque, SLURM, or SGE

- Experience troubleshooting CUDA installations, GPU failures, and driver issues

- Familiarity with scientific computing toolchains — compilers (GNU, Intel), MPI implementations, EasyBuild, and Spack

- Experience supporting researchers or end-users with application builds and runtime issues

- Working knowledge of configuration management tools (Git, Ansible, MS DevOps)

- Comfortable working independently and producing clear technical documentation

- Eligible to obtain and maintain a Secret-level security clearance

📌 System Administrator (Ottawa)
🏢 Important Business
📍 Ottawa