Overview We’re hiring on behalf of a fast-growing tech company specializing in large-scale 3D content creation powered by advanced Computer Vision and Machine Learning. Their technology is used globally across industries like fashion, retail, and media to produce high-quality, relightable 3D models at scale. To support continued growth, the team is seeking a skilled Infrastructure Engineer to help scale and maintain the systems behind their cutting-edge AI and scanning workflows. This role supports both cloud and on-premise environments and is critical to development, deployment, and ML operations. Key Responsibilities Design deployment strategies for software and assets across cloud and local systems. Build and maintain CI / CD pipelines and testing infrastructure. Manage compute clusters and container orchestration platforms (e.G. Kubernetes). Develop infrastructure for ML training pipelines and data workflows. Optimize resource scheduling and distributed compute environments. Requirements 4 years in infrastructure engineering or DevOps. Proficient with Docker, CI / CD tooling, and infrastructure-as-code (e.G. Terraform, Ansible). Experience with GPU / CPU clusters and job schedulers (e.G. Slurm). Familiarity with MLOps and experiment tracking. Fluent in English and Italian or German. AWS / cloud experience, monitoring tools (Prometheus, Grafana), networking, or server maintenance (nice to have). Background in 3D processing or computer vision workflows (nice to have). Join an international team building the infrastructure behind a next-gen 3D technology platform used by some of the world’s most forward-thinking companies. Interested? Apply now or email your CV to to be part of an international team pushing the limits of 3D technology and AI infrastructure. J-18808-Ljbffr