Infrastructure Engineer

Start date: 09/03/2026
End date: 01/09/2026
Location: On-site in Stockholm 2 days a week

Experienced Linux System Administrator Remote Desktop Infrastructure

Assignment:
We are seeking an experienced Linux System Administrator with 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 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 (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 on Rocky Linux or RHEL.
Strong automation and IaC skills (Ansible or similar tools).
Proficiency in scripting, primarily Bash; Python is a plus.
Familiarity with CI/CD pipelines and version control (Git, GitLab).
Understanding of X11, desktop environments (Xfce4, GNOME) and remote rendering/display protocols.
Good knowledge of networking, security, and monitoring tools (Prometheus‑based observability preferred).
Architectural thinking with ability to design scalable and maintainable systems.
Ability to work independently and take ownership of complex environments.

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