Linux System Administrator

Assignment 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 Competencies -Solid experience as a Linux System Administrator, ideally with Rocky Linux or RHEL. -Strong automation and Infrastructure-as-Code (IaC) skills, preferably using Ansible or similar tools. -Proficiency in scripting, primarily Bash; Python is considered an advantage. -Experience with CI/CD pipelines and version control systems such as Git and GitLab. -Understanding of X11, desktop environments (Xfce4, GNOME), and remote rendering/display protocols. -Good knowledge of networking, security, and monitoring tools, with Prometheus-based observability being preferred. -Strong architectural mindset with the ability to design scalable and maintainable systems. -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. Start: 2026-11-23 Assignment Length: 2027-12-31 Scope: 100%