Davide Casuccio

Cloud Engineer · Italy

Summary

Cloud Engineer with production experience across Azure and Google Cloud, spanning network architecture, Kubernetes operations at enterprise scale, and AI-driven process automation. A software engineering background enables end-to-end ownership from IaC design to deployment pipelines. Currently expanding toward AI-integrated cloud solutions.

Professional experience

Cloud Engineer · Cluster Reply s.r.l.

Milan, Italy

  • Developed AI-driven process automation on Azure using Copilot Studio, Azure Functions, and Logic Apps, including sentiment analysis pipelines on employee feedback and serverless workflows for internal business operations (email collection and document processing).
  • Designed and delivered Hub & Spoke network architectures across 10 subscriptions for 5 enterprise clients, implementing Azure landing zones via Terraform following the Cloud Adoption Framework.
  • Orchestrated microservices workloads across Azure AKS and Google GKE using Helm and FluxCD, including enterprise-scale operations for a major financial institution spanning 20+ GKE clusters with 20+ applications each. Owned CI/CD pipelines end-to-end via Azure DevOps and GitHub Actions.
  • Owned 24/7 on-call operations for enterprise GCP infrastructure (GKE, Cloud SQL, IAM) under a P2 SLA with 2-hour response commitment: resolving incidents, optimising costs, and ensuring multi-cloud reliability for large-scale financial sector clients.
  • Designed and enforced Azure RBAC policies and Azure Policy initiatives across multi-subscription environments, ensuring resource compliance, security controls, and least-privilege access management for enterprise clients.
  • Led a project team and drove client adoption of Microsoft cloud-native solutions; promoted FinOps practices for cloud cost governance and implemented reliability engineering using Azure Chaos Studio and Azure SRE Agent.

Software Engineer · Tryrco s.r.l.

Capua, Italy

  • Designed and developed real-time acquisition and visualisation systems for MWIR thermal cameras in aerospace and industrial applications, using Java, .NET, and eBUS SDK.
  • Built a GPU-accelerated Python backend for multispectral thermal image processing (emissivity and temperature mapping) using CUDA and JAX, exposed via FastAPI REST API and deployed on Google Cloud Run with Docker.

Personal and academic projects

Education

Master's Degree in Computer Engineering

University of Campania "Luigi Vanvitelli"

Bachelor's Degree in Electronic and Computer Engineering

University of Campania "Luigi Vanvitelli"

Last updated November 2026.