Infrastructure engineer
Pubblicato il 22-09-2026 - European Tech Recruit in Italia
2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Direct message the job poster from European Tech Recruit Principal Consultant | Software Engineering, AI & CV/ML, Semiconductors & Electronics European Tech Recruit are working closely with an exciting 3 D scanning tech company, based in Bressanone, who are looking for a talented Infrastructure Engineer to join their team.
In this role you will be responsible for improving and scaling their technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll also support development and ML teams across cloud and on-premise environments. Responsibilities as Infrastructure Engineer : Design and implement deployment strategies for software and assets to cloud environments and clients.
Create reliable pipelines for delivering and updating various resources to on-premise systems. Build and maintain CI/CD pipelines for efficient software delivery. Improve developer experience through tooling and workflow optimization.
Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads. Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks.
Build and maintain infrastructure for ML workloads, including training pipelines and data processing. Design and optimize resource allocation systems for efficient AI/ML computation.
Requirements:
Bachelor's degree in Computer Science or related technical field. 4+ years of experience in infrastructure engineering or Dev Ops roles. Experience with containerization (Docker) and orchestration (e.g. Kubernetes). Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines. Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm). MLOps experience, including ML pipeline automation and experiment tracking.
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