Cloud & AI Platform Architect
Pubblicato il 10-08-2026 - Crif in Italia
TECHNICAL SOFTWARE ARCHITECT
Cloud & AI Platform Architect
Role Overview
The Cloud & AI Platform Architect is responsible for designing and governing scalable, secure, and cloud-native platforms, supporting both enterprise applications and AI-based solutions. The role defines architectural standards, enables platform engineering practices, and drives automation and operational excellence across cloud environments.
Key Responsibilities
Design cloud architectures on AWS and Azure.
Define and govern Kubernetes (K8s) platforms and deployment patterns.
Implement Infrastructure-as-Code using Terraform.
Develop automation and integration solutions with Python.
Design and optimize CI/CD pipelines and DevOps practices.
Define observability capabilities, including monitoring, logging, and tracing.
Ensure platform scalability, security, reliability, and operational readiness.
Collaborate with engineering, security, and operations teams to establish architecture standards and best practices.
Required Skills
AWS
Azure
Kubernetes (K8s)
Terraform
Python
CI/CD
Observability
Preferred Skills
Agentic AI architectures
RAG (Retrieval-Augmented Generation)
Generative AI platforms and frameworks
Success Measures
Secure, scalable, and reliable platform architectures.
High levels of automation and deployment efficiency.
Strong observability and operational excellence.
Successful adoption of cloud-native and AI platform capabilities.
We offer a safe and inclusive environment where colleagues are encouraged to think outside the box. CRIF is committed to creating a diverse, inclusive work environment and promoting equal opportunities throughout the employee life cycle. We aim to attract and retain the best people and embracing gender, age, culture, religion and disability diversity
What we offer:
Type of contract: permanent
The Annual Salary for this position starts from €37,000 gross per year.
The level of classification will be determined during the selection process based on the candidate