System Architect

Imagine shaping the visual backbone of mission-critical environments, from transport and utilities control rooms to security operations and large‑scale networks. At Barco Control Rooms, we develop software that helps operators monitor, analyze, and act on complex information streams in real time. As a System Architect, you will have the opportunity to make a tangible impact from day one, working on high-performance visualization platforms 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

• Define and own the end-to-end software architecture of a cloud product within the Barco Control Rooms portfolio.
• Stay hands‑on with technology through experiments, proofs of concept, prototypes, technical validations, and code reviews.
• Evaluate the opportunities and limitations of AI‑assisted and AI‑enabled systems and guide the secure, scalable, and customer‑focused integration of AI capabilities into the product architecture.
• Stay up to date with latest technology in the domain of control rooms and advise product management and product owners on best technical roadmap strategies to follow.
• Foster a culture where people think system‑wide across software components and development locations.

Your Profile

• Master’s degree in Computer Science, Software Engineering, or equivalent through experience.
• Proven experience designing and evolving cloud‑native software architectures operating at scale.
• Hands‑on mindset with a strong interest in proofs of concept, experiments, prototypes, and technical validations.
• Broad software engineering expertise, including experience with serverless technologies, event‑driven architectures, microservices, APIs, and cloud platforms.
• Strong understanding of cloud architecture principles, including scalability, reliability, observability, security, and cost optimization.
• Solid knowledge of security fundamentals, identity and access management, data protection, and secure software development practices in cloud environments.
• 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 keen interest in emerging cloud and AI technologies.
• Excellent communication, presentation, facilitation, and stakeholder management skills, with the ability to communicate architectural vision, trade‑offs, risks, and concepts across different organizational levels, including executive management.
• Fluent in written and spoken English.
• Experience with Google Cloud Platform (GCP) and the Google AI ecosystem (Vertex AI, Gemini, AI Platform, etc.) is an asset.
• Experience in international development environments is an asset.
• Experience working in large‑scale agile environments (SAFe, LeSS, multiple Scrum teams, multiple Product Owners, etc.) is 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