LNDS - 067 - Senior System Engineer II AI Factory (Fixed-term up to 24 months)

Department: Technology & Infrastructure

Employment Type: Temporary

Schedule: Full-time

Seniority: Experienced

Location: Luxembourg - Esch-sur-Alzette

Luxembourg National Data Service (LNDS) is a brand of PNED G.I.E. an organisation created by the Luxembourg Government, to implement Luxembourg’s strategies in research, innovation, and digitalisation. LNDS enables value creation from secondary use of data, for public and private partners and supports the sharing and re-use of public sector data, in a trustable manner. The LNDS service portfolio includes know-how, capabilities, tools, infrastructure, and data services. Through efficient & responsible use of data and improving the secondary use of data, LNDS will support the acceleration of economic, ecological, and societal transitions.
www.lnds.lu | LNDS on LinkedIn

The Luxembourg AI Factory (L-AIF) is part of a European wide initiative (EuroHPC consortium) to
enhance the use of high-performance computing (HPCs) in Europe and facilitate the adoption of AI.
By magnifying the potential of AI, L-AIF's objective is to support businesses in adopting and implementing AI Solutions tailored to their maturity and needs. This includes access to the Luxembourg HPC – MeluXina-AI – to tailor AI models to small and medium enterprises (SMEs);
discovery, access, and brokerage of data for AI model training; as well as compliance checks via its AI and regulatory Sandboxes. In short, L-AIF accompanies SMEs along their journey towards AI innovation. As a Consortium partner, LNDS is participating in this project through its expertise in data management and technical deployment of business solutions. We are therefore looking for a Senior Systems Engineer to help us make the L-AIF the one-stop-shop for AI adoption in Luxembourg and promote the country as a trustworthy AI hub in Europe.
https://www.aifactory.lu/As a Senior Systems Engineer, you will play a key role in designing, developing, and maintaining secure and scalable infrastructure underpinning the Luxembourg AI Factory platform. You will collaborate closely with internal teams and external partners to build, deploy and maintain Secure Processing Environments (SPE) on a HPC AI cluster. You will be part of the Technology and Infrastructure team and contribute to high-impact European initiatives in AI, data governance, and digital public infrastructure.

• Lead the deployment, configuration, and ongoing support of SPE on the upcoming MeluXina-AI HPC in close collaboration with LuxProvide. 
• Design, implement, and maintain unified and automated processes to accelerate and streamline deployment of LNDS activities across the infrastructure. 
• Work extensively with Kubernetes clusters, including the design, deployment, and management of containerized secure workloads. 
• Ensure reliability, scalability, and security using privacy- and security-by-design principles. 
• Support the Project Manager with the project’s agile development practices and continuous integration and deployment strategies. 
• Monitor, troubleshoot, and resolve infrastructure and service-related issues. 
• Automate infrastructure tasks using modern tools and ensure CI/CD efficiency. 
• Contribute to the documentation of architecture, configuration, and deployment procedures. 
• Coordinate with stakeholders and provide technical guidance across the project. 
• Participate in European collaborations and travel occasionally for joint activities. 
• Coach or mentor less experienced colleagues when needed. 

• MSc in computer science, IT, engineering, or related fields. 
• 10 to 15 years of relevant experience with additional focus on containerization (Kubernetes, Docker, Podman, Singularity/Apptainer). 

• Strong awareness of cybersecurity practices and privacy-by-design principles. 
• Expertise in Linux (RHEL/Ubuntu) system administration. 
• Strong skills in deployment and provisioning technologies (e.g.: Terraform, Ansible). 
• Proficiency in software delivery pipelines, infrastructure-as-code, and monitoring tools. 
• Hands-on experience with CI/CD pipelines and automation tools. 
• Proficiency in shell scripting (Bash) and programming (e.g. Python or R). 

• Familiarity with Git, GitHub/GitLab platforms. 
• Familiarity with object storage solutions (S3). 
• Familiarity with HPC job schedulers (e.g., SLURM, PBS). • Knowledge of change management processes. 
• Knowledge of remote-access tools like VNC or Apache Guacamole and concepts like SPE (Secure Processing Environment) and TRE (Trusted Research Environment). 
• Knowledge of SIMPL. 

• Fluent in English (C-Level). 
• Good knowledge of French (B-Level) is a plus. 
• Analytical thinker, adaptive, and comfortable in interdisciplinary teams. 
• Culturally aware, solution-oriented, autonomous and quality-driven.