Are you passionate about research? so are we! come and join us
The Luxembourg Institute of Science and Technology (LIST) is a leading Research and Technology Organisation (RTO) that drives innovation for the economy and society in Luxembourg and beyond. With cutting-edge expertise in Natural, Built, Industrial environments, Space, AI, Security and defence technologies. LIST bridges scientific excellence and applied research to design solutions that address real-world challenges and create positive impact.
How will you contribute?
You will contribute to the design, operation and continuous improvement of LIST's high‑performance computing and data infrastructure supporting research, data processing and organisational workloads.
You will be mainly in charge of:
Administering and optimising compute cluster environments based on Kubernetes (K8s), Docker, Podman, VMware and Proxmox
Managing enterprise Storage infrastructure including SAN and DAS systems using Infiniband and Fibre Channel technologies, as well as HPC‑oriented parallel file systems such as Beegfs
Operating and maintaining enterprise backup and recovery solutions based on CommVault to ensure reliable data protection and disaster recovery
Monitoring compute, Storage and backup platforms to detect performance issues, capacity constraints and operational anomalies
Ensuring efficient scheduling and resource allocation within compute clusters to support fair and optimal use of computing resources
Implementing automation and configuration management tools (e.g. Ansible or similar) to improve operational efficiency and infrastructure consistency
Performing system upgrades, patch management and lifecycle maintenance of cluster nodes, Storage platforms and backup infrastructure
Supporting incident response and troubleshooting activities to ensure rapid restoration of services
Implementing security best practices including access control, system hardening and secure data management
Collaborating with IT operations teams, system administrators, researchers and application developers to design and optimise computing environments
Supporting hybrid infrastructure integration with on‑premise platforms and public cloud services such as AWS and Microsoft Azure
Documenting system architectures, procedures and operational guidelines
Following emerging technologies and proposing improvements to enhance computing and data infrastructure capabilities
The role combines deep technical expertise with operational responsibility, ensuring reliable and scalable infrastructure services for research and organisational needs.
Is your profile described below? Are you our future colleague? apply now!
Education: Bachelor's degree in Computer Science, Information Technology, Engineering or a related field experience
Experience and skills:
Minimum 5-7 years of experience in system administration, HPC infrastructure, or large‑scale computing environments.
Hands‑on experience managing Linux‑based compute clusters and job scheduling systems (e.g. Slurm, PBs or similar).
Experience managing container and Virtualisation platforms such as Kubernetes, Podman, VMware or Proxmox.
Strong experience with enterprise Storage platforms including SAN and DAS environments using Infiniband or Fibre Channel, and HPC parallel file systems such as Beegfs.
Experience managing enterprise backup and recovery solutions such as CommVault.
Strong Linux system administration skills including performance tuning and resource management.
Experience with infrastructure automation and configuration management tools (e.g. Ansible, Opentofu, Puppet or similar).
Solid understanding of networking fundamentals relevant to compute and Storage environments (TCP/IP, high‑speed interconnects).
Experience operating highly available and scalable infrastructure environments with strong data integrity requirements.
Understanding of security best practices for infrastructure environments and data protection.
Experience with public cloud platforms such as AWS or Microsoft Azure is considered an asset.
Experience supporting research or data‑intensive environments is considered an advantage.
Familiar with supporting AI/ML workloads is an asset
Soft skills:
Strong analytical and troubleshooting abilities
Ability to work collaboratively with multidisciplinary teams
Strong documentation and organisational skills
Proactive mindset and willingness to continuously improve infrastructure environments
Holistic and structured approach
Language skills: Fluency in English (Luxembourgish, German and especially French are considered as an asset), both oral and written.
Your LIST benefits
An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
An environment encouraging curiosity, innovation and entrepreneurship in all areas
Personalized learning programme to foster our staff's soft and technical skills
Multicultural and international work environment with more than 60 nationalities represented in our workforce
Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
Gender-friendly environment with multiple actions to attract, develop and retain women in science
32 days' paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
Flexible working hours, home working policy (not remote) and access to Digital lunch vouchers
Apply online
Your application must include:
A motivation letter oriented towards the position and detailing your experience
A CV with contact details
Contact details of 2 references
Please apply ONLINE formally through the HR system. Applications by email will not be considered.
Application procedure and conditions:
We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.
LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, ethnicity, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.
As part of our recruitment process, the selected candidate might be subject to a background check in accordance with applicable laws and institutional policies.
For the purposes of the position and in accordance with applicable legislation, the successful candidate may be requested to provide a recent criminal record certificate.