Linux System Admin

We are seeking an experienced Linux System Administrator with a strong focus on automation, architecture, and platform engineering to design, build, and maintain our Remote Desktop (VDI) environment. This infrastructure supports GPU-accelerated remote desktops for pre- and post-processing of HPC workloads, including automotive simulations, visualization, and rendering. The platform runs on Rocky Linux / RHEL, uses X11 and Xfce4, and leverages NICE DCV, EF Portal (EnginFrame), and SLURM to deliver high-performance graphical sessions remotely. Key Responsibilities • Design, deploy, and maintain a Linux-based GPU-enabled Remote Desktop environment (DCV, EnginFrame, SLURM, X11, Xfce4 on Rocky Linux). • Develop automation and Infrastructure-as-Code (IaC), primarily using Ansible, to ensure consistent and repeatable deployments. • Ensure security, scalability, performance, and long-term maintainability of the platform. • Collaborate closely with HPC and Infrastructure Engineering teams. • Document architecture, configurations, deployment workflows, and operational procedures. Required Qualifications

1. Solid experience as a Linux System Administrator, ideally with Rocky Linux or RHEL.
2. Strong automation and Infrastructure-as-Code (IaC) skills, preferably using Ansible or similar tools.
3. Proficiency in scripting, primarily Bash; Python is considered an advantage.
4. Experience with CI/CD pipelines and version control systems such as Git and GitLab.
5. Understanding of X11, desktop environments (Xfce4, GNOME), and remote rendering/display protocols.
6. Good knowledge of networking, security, and monitoring tools, with Prometheus-based observability being preferred.
7. Strong architectural mindset with the ability to design scalable and maintainable systems.
8. Ability to work independently and take ownership of complex environments.

Nice to Have • Experience working with HPC environments and the SLURM workload manager. • Experience with NICE DCV, EnginFrame (EF Portal), Open OnDemand, or similar remote visualization platforms. • Familiarity with container technologies such as Docker and Podman, as well as monitoring and observability tooling