Ines Ramoudi

- Worked on Azure network/security architecture with Palo Alto firewalls, VMSS and AKS clusters across enterprise environments - Worked on Azure Landing Zones based on the Cloud Adoption Framework (CAF), supporting complex multi-level deployment architectures, governance and standardized enterprise cloud environments - Built and maintained reusable Terraform modules and Bicep deployments for multi-environment infrastructure - Worked on GitOps/DevSecOps workflows with GitHub Actions, secrets management and security controls - Managed Azure Policies and Initiatives across multi-tenant environments, including remediation and governance automation - Handled cloud incidents, troubleshooting and production support using ServiceNow - Supported cloud migrations and infra changes while keeping production impact minimal - Managed certificates, secrets and Prisma Cloud security configurations - Worked closely with different teams to automate deployments, improve reliability and standardize cloud infrastructure

- Deloitte France Landing Zone Setup (CI/CD Pipelines, Azure DevOps, Terraform Modules, Automation) - Migration Coordination and Supervision ( Azure Migrate, Design Decisions, High Availability) - End to End Application and Databases Migration (Discovery, Assessment, Architecture, Vulnerability Management, Migration, Handover, Rollback, Hypercare) - IaC & DevSecOps Standards and Best Practices (Semantic Versionning, SecOps tools, Least Privilege, Integrity, Security Compliance) - Hyper-V - Microsoft Azure Proficiency

- System Administration - Incident Management - Infra as Code (Terraform) - Cluster Management (Docker, K8S) - Azure Public Cloud Administration ( AAD,Azure Networking, Storage, Compute, Monitoring) - Monitoring with Zabbix, Prometheus, Grafana - Scripting with Powershell, Golang and bash

Master Thesis in collaboration with IKERLAN, My mission was to simulate a lab environment for Industrial Iot Companies who are considering the Iot-Fog-Cloud Architecture model and evaluate Networking performance after the fog layer was added. I used Software Defined Networks while my colleague used Kubernetes. The end results demonstrated better performance in terms of latency, bandwidth, throughput, packet loss, error rate, jitter, RTT, uptime and QoS. Here's the Thesis Abstract : Building and Optimizing a three-tier Iot-fog-cloud architecture Industry 4.0 applications foster new business opportunities, but they also pose new and challenging requirements, such as low latency communications and highly reliable systems. They would likely exploit novel wireless technologies (5G), but it would also become crucial to use architectures that appropriately support them. In this sense, the combination of fog and cloud computing represents a potential solution, since it can dynamically allocate the workload depending on the specific needs of each application. The main goal is to provide a highly reliable and dynamic architecture, which minimizes the time that an end node or user, spends downloading the required data. Tools: RYU controller, containernet, Docker, Kubernetes, LINUX, Software Defined Networks