Expert Software Engineer (cloud, data and AI)
Barco Kortrijk, Flanders, Belgium
Technology, Information and Media · 1,001-5,000 employees
About the role
You will design, develop, and maintain robust cloud-native backend solutions and multi-layered data architectures for real-time control room platforms. Additionally, you will implement AI architectures and collaborate with cross-functional teams to ensure system performance, scalability, and reliability.
What they look for
Requirements
The role requires a Bachelor or Master’s degree in Computer Science or a related field and proven experience in full-stack cloud-native software development. Candidates must possess strong expertise in cloud architecture, data engineering, and modern AI concepts, along with excellent communication skills.
Benefits
Full description
Imagine shaping a secure data and AI platform as backbone for an intelligence engine for Control Rooms providing operators with solutions for real-time decision support and workflow automation.
At Barco Control Rooms, we build software that enables operators to monitor, analyze and act on complex information streams in real time, globally, and across multiple Control Room industries (energy & utilities, transportation, manufacturing, government, ...)
As an Expert Software Engineer, you will have the opportunity to make a tangible impact from day one, working on a high-performance cloud & data platform used worldwide. If you are eager to learn, passionate about technology, and motivated to contribute to solutions that truly matter, we would love to hear from you.
Key Responsibilities
- Contribute to a cloud data platform within the Barco Control Rooms portfolio.
- Design, develop and maintain robust, scalable, and sovereign cloud backend solutions.
- Design and implement multi-layered data architectures and data lake solutions.
- Integrate front-end applications with server-side logic.
- Ensure system performance, reliability and data integrity.
- Write efficient, reusable and maintainable code.
- Develop and maintain automated tests to support software quality.
- Build, validate, and improve solutions through software development, technical investigations, proofs of concept, testing, and code reviews.
- Support with implementing AI architectures & designs with robust engineering
- Collaborate closely with developers, product owner and product manager to share ideas and knowledge.
- Promote a system-wide mindset across software components, teams, and development locations.
Your Profile
Experience & Knowledge
- Bachelor or Master’s degree in Computer Science, Software Engineering, or equivalent through experience.
- Proven experience designing and evolving cloud-native software architectures & cloud infrastructure operating at scale.
- Proven experience in full-stack software development using technologies such as JavaScript, TypeScript, Node.js and Python.
- Hands-on mindset with experience building proofs of concept, prototypes, experiments, and technical validations.
- Broad software engineering expertise, including serverless architectures, event-driven systems, microservices, APIs, and cloud platforms.
- Strong understanding of cloud architecture principles, including scalability, reliability, observability, security, and cost optimization.
- Familiar with cloud devops & SRE
- Knowledge of cloud security fundamentals, identity and access management, data protection, and secure software development practices.
- Understanding of modern AI and machine learning concepts, including large language models, retrieval-augmented generation (RAG), prompt engineering, model evaluation, and AI governance.
- Strong learning mindset with a commitment to staying current on developments in cloud technologies and artificial intelligence.
- Excellent communication, presentation, facilitation, and stakeholder management skills, with the ability to explain vision, trade-offs, risks, and technical concepts to diverse audiences, including executive stakeholders.
- Experience with Google Cloud Platform (GCP) and Google AI technologies such as Vertex AI, Gemini, and AI Platform is considered an asset.
- Fluency in spoken and written English.
- Experience working in international development environments is considered an asset.
- Experience in large-scale agile environments involving multiple teams and product owners is considered an asset.
What we offer
- Competitive pay and benefits
- Meaningful work with ownership, autonomy, and impact
- The opportunity to work in a global tech environment with diverse teams
- Continuous learning and growth through training, mentoring programs, and on‑the‑job development
- An inspiring workplace designed for collaboration
