Fixed term contract | 24 months | Belval 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. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? As part of building internal cloud native and platform capabilities within AIRA, we are opening an R&T Engineer position focused on Platform Engineering. You will design, build, and operate the core infrastructure and platform components that power AI, Data, and Digital Twin workloads across heterogeneous Research IT environments. As an autonomous engineer, you will contribute to the development of internal platforms, manage cloud landing zones and Kubernetes-based clusters, and streamline the delivery of reproducible research demonstrators. You will define best practices for infrastructure automation, platform reliability, and secure software delivery, while collaborating closely with research teams to transform their needs into scalable and maintainable platform services. Is Your profile described below? Are you our future colleague? Apply now! Your duties may include:
- Platform Engineering & Infrastructure Automation: Design, build, and operate cloud native foundational components (Kubernetes clusters, shared services, IaC modules, internal tooling) to support the team's AI and Data assets.
- Cloud & On Prem Integration: Manage and evolve cloud landing zones (provided by corporate IT) and on premise research clusters; ensure consistent infrastructure automation patterns across environments.
- Internal Developer Platform (IDP) Enablement: Create reusable, self service infrastructure blueprints enabling researchers to deploy demonstrators, pipelines, and experiments efficiently and safely.
- Infrastructure as Code & GitOps: Implement and maintain Terraform/CloudFormation modules, GitOps workflows, policies, and automation to ensure reproducible and secure deployments.
- Platform Observability: Design and maintain robust observability stacks (metrics, logs, traces) to monitor platform health and guide performance improvements.
- Technical Architecture & Advisory: Advise research teams on designing cloud native, scalable architectures aligned with corporate IT guidelines and modern platform engineering good practices.
- Project Contribution: Participate in infrastructure, integration, and platform related work packages for projects such as CitCom.ai, NextLogic, and the AI Factory.
- Knowledge Sharing & Dissemination: Contribute to documentation, technical workshops, project deliverables, and support software disclosures or patents where applicable. Education
- Master's degree or equivalent studies in Computer Science or a related engineering field. Experience and skills
- At least 3 years of experience in platform engineering, cloud-native infrastructure, DevOps, or SRE.
- Ability to design, deploy, and operate Kubernetes-based distributed systems.
- Experience collaborating with software engineering and data teams to enable reliable and efficient delivery workflows.
- Strong focus on automation, operational excellence, and developer experience.
- Strong capacity for abstraction, reasoning, and structured problem-solving.
- Demonstrated ability to collaborate across diverse, multicultural teams and translate between technical and organizational contexts To access this job, you should have demonstrated to:
- Hands on experience with Kubernetes (K8s) and cloud landing zones (AWS/Azure; GCP appreciated).
- Strong proficiency in Infrastructure as Code: Terraform (preferred), CloudFormation, or similar.
- Experience implementing GitOps workflows (e.g., Argo CD, Flux).
- Knowledge of service mesh, container networking, and cloud native security principles.
- Ability to design and maintain CI/CD pipelines tailored to containerized workloads.
- Experience with observability stacks such as Prometheus, Grafana, Loki, ELK, or OpenTelemetry.
- Ability to communicate complex architectural concepts to non technical stakeholders. Language skills
- Fluency in English both oral and written. Other relevant languages are an asset. 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 50 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 and access to lunch vouchers Apply online Your application must include:
- A motivation letter oriented towards the position and detailing your experience
- A scientific 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, colour, 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.
