Cloud Engineer (Ai Factory)
Pubblicato il 16-10-2026 - Coesia Group in Bologna
OverviewIn this role you will design and operate cloud architectures to enable AI-powered industrial solutions.
You will align with Coesia's cloud strategy, building scalable, secure, and observable environments for AI workloads and production deployments.
You will work across development, operations, and business teams to accelerate delivery and optimize costs, while ensuring security and compliance.
This is a chance to shape the digital services roadmap and contribute to AI-driven transformation at a global manufacturing innovator.
ResponsabilitàDesign, implement, and maintain cloud infrastructure for AI solutions (networking, compute, storage, identity)
Build scalable, secure, observable environments for AI development, training, and deployment
Define and automate cloud environments using Infrastructure as Code (Terraform) for consistent deployments
Manage cloud resources for AI workloads (GPUs, training/inference services, vector stores)
Ensure security, compliance, and data protection per enterprise standards
Drive a program for optimization and cost control with observability and high availability
Collaborate cross-functionally between development,
operations, and business teams
Coordinate with Digital Product Managers to implement the digital roadmap and lead the Digital Services team
Define and roll out cloud service plans with product managers and project owners
Requisiti fondamentaliBold experience in AWS & Azure Architecture (GCP is a plus)
Experience in Infrastructure as Code (Terraform)
Kubernetes / Containers
DevOps & CI/CD
Security & IAM, Cloud Networking, Observability & Monitoring
Python automation, FinOps / Cost Optimization, AI/ML Platform & MLOps
Broad understanding of digital services architectures
Knowledge of Agile project management, Scrum familiarity
Excellent stakeholder communication and collaboration skills
2+ years managing cloud architecture projects
Analytical and problem-solving abilities
Ability to work in an international, dynamic environment
Data-driven decision making
Continuous learning
Excellent communication
Cross-functional collaboration
Adaptability
AWS
Azure
GCP (plus)