SOFTWARE ENGINEER FOR DIGITAL TWIN SYSTEM

Temporary 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 Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.

Do you want to know more about LIST? Check our website: https://www.list.lu/

LIST coordinates a national research initiative to support the energy transition, co-funded by the National Research Fund (FNR). This initiative aims at supporting Luxembourg's energy transition through a nation-wide digital platform, built together with public and private stakeholders in the Energy sector. Such a platform puts together multidisciplinary data and models covering different aspects of the energy transition, including energy infrastructure, market design, regulatory constraints, social and environmental impacts.

Within the project, we aim at addressing the research challenges associated with the design and operationalisation of a nation-wide platform that integrates multidisciplinary data and models to provide energy transition decision support to multiple stakeholders.

How will you contribute?

As a Software Engineer for Digital Twin, you will contribute to the implementation of a Digital Twin platform to support decision-making related to the energy transition in Luxembourg. The platform will act both as an enabling infrastructure and as an integration environment for research outputs (e.g. simulation tools, models, data, data pipelines) from the project partners.

Main responsibilities:

• Design and implement a scalable, secure, and high-performance data platform for energy data monitoring, processing and analysis.
• Develop, deploy, and maintain open-source software (OSS) components in a Kubernetes-based environment.
• Translate research outputs (e.g., models, algorithms) into production-grade APIs and services.
• Collaborate with data scientists and domain experts via LivingLabs to integrate knowledge and AI models (e.g., including simulation, prediction) into the digital twin architecture.
• Develop and maintain web-based user interfaces to enable intuitive interaction with the digital twin and data services.
• Ensure solutions are well-tested, documented, and maintainable, with a strong emphasis on software quality and reproducibility.
• Participate in design reviews, code reviews, and agile development practices
• Support project planning, execution, and reporting.
• Support the evaluation of the platform and quality assurance via monitoring of platform-related KPIs
• Write technical documentation, research reports, and contribute to scientific dissemination (e.g., conferences, workshops, whitepapers).

Is Your profile described below? Are you our future colleague? Apply now!

Education

• Master’s degree (or equivalent) in Computer Science, Software Engineering, or a related technical field.

Experience and required skills

• Proven experience in RDI environments, ideally in software engineering domains, particularly in Software Development, DevOps, or related roles, with a preference in energy-related projects.
• Strong proficiency in backend development, with experience preferably in Node.js, Spring Framework or Go.
• Experience deploying and managing services in Kubernetes (e.g., Helm, Kustomize, CI/CD pipelines).
• Experience with CI/CD tools such as GitLab CI/CD, Jenkins, or ArgoCD.
• Solid understanding of API design (REST/gRPC) and experience building production-grade services.
• Experience with open-source software ecosystems, ideally in data engineering, scientific computing, or IoT.
• Familiarity with Git-based workflows and collaborative development practices.
• Excellent problem-solving skills and the ability to work both independently and in a team.

Preferred Skills

• Proficiency with containerization and orchestration technologies, including Docker, Kubernetes, and Helm.
• Hands-on experience with Data LakeHouse architectures and data streaming platforms (e.g., Kafka, Pulsar).
• Familiarity with various types of databases, including NoSQL, graph databases (e.g., Neo4j), and time-series databases (e.g., InfluxDB, TimescaleDB).
• Backend development expertise in Node.js, Spring Framework (Java), or Go for building scalable, maintainable services.
• Frontend development experience using modern frameworks such as React or Angular, with a focus on usability and performance.
• Experience working with energy systems, simulation tools, and/or digital twin technologies is a strong plus.
• Understanding of DevOps best practices, observability, and monitoring tools (e.g., Prometheus, Grafana).
• Experience with Domain Driven Design principles is a strong plus.
• Knowledge about cloud-native architecture patterns, microservice architectures and data mesh principles is expected.
• Background in research-to-industry integration, especially around deploying algorithms or models in production environments.