
Hamza Kalech
Cloud & DevOps Engineer | AI for DevOps Research & Automation
Salaire / Taux journalier
Manouba, Tunisie
Freelance, ouvert au CDI
Expertises
À propos
Introduction
Computer Science Engineer specialized in Cloud & DevOps, with hands-on experience in designing, automating, and securing cloud-native infrastructures on Microsoft Azure. I am passionate about leveraging automation and AI to build infrastructures that are scalable, resilient, and intelligent, ready to support modern applications. Currently open to opportunities where I can apply my expertise in DevOps, Cloud Computing, and AI-driven automation to solve real-world challenges.
Expérience de travail
DevOps Engineer/AI Researcher
Capgemini Engineering
janv. 2025 - juil. 2025
7 mois
Soliman, Tunisie
– Designed and deployed a production-grade Kubernetes-based DevOps platform on Azure Kubernetes Service (AKS), integrating automation, security, monitoring, and AI-driven intelligence. – Infrastructure as Code: Automated provisioning of AKS, VNet, subnets, storage accounts, and resource groups with Terraform. – CI/CD Pipeline: Built a complete Jenkins pipeline covering Git checkout, build, SonarQube analysis, Trivy scanning, Nexus deployment, Docker image packaging, and Kubernetes deployment automation. – GitOps: Integrated ArgoCD for continuous delivery, enabling declarative GitOps workflows and seamless Kubernetes manifest synchronization. – Security & Reliability: • Configured Calico network policies for fine-grained, zero-trust communication between services (frontend → backend → database). • Secured applications with Let's Encrypt SSL and DNS integration for hamzakalech.com. • Implemented automated MySQL backups with Azure Backup & Velero for disaster recovery. – Monitoring & Observability: • Deployed Prometheus and Grafana via Helm with persistent storage. • Configured dashboards, alerts, and metrics exposure through secure ingress. – AI Integration: • Developed and deployed an Anomaly Detection service (Isolation Forest) to monitor system metrics. • Built a Predictive Autoscaling model (Prophet/XGBoost) to forecast CPU & memory usage, integrated with KEDA for intelligent scaling. – Delivered a secure, resilient, and intelligent cloud-native infrastructure that combined DevOps best practices with AI-driven monitoring and scalability. – This experience strengthened my expertise in Terraform, Kubernetes, Jenkins, ArgoCD, Prometheus/Grafana, Calico security, and AI for DevOps automation.
Formation
ESPRIT (Ecole Supérieure Privée d'Ingénierie et de Technologies)
Computer Science Engineer, Computer Science
2022 - 2025
3 ans 1 mois
Licences et certifications
Introduction to Microsoft Azure Cloud Services
Délivré le : –
Microsoft Azure Services and Lifecycles
Délivré le : –
Microsoft Azure Management Tools and Security Solutions
Délivré le : –
Oracle Cloud Infrastructure 2025 Certified DevOps Professional
Délivré le : –