SAIFEDDINE SEGNI

Contexte : Au sein de l’équipe OPS de Fieldbox, j’interviens en tant que Senior Cloud & DevOps Engineer sur des activités de Build et de Run. Je contribue au déploiement de solutions pour plusieurs clients, notamment NOC (North Oil Company), ainsi qu’à l’exploitation et la maintenance de l’infrastructure hybride de l’entreprise (gestion des accès, incidents, maintenance).de RUN et l’exploitation de l’infra hybride de Fieldbox (Maintenance, gestion des demandes d’accès, incidents …). Projet client – NOC (environnement Azure) : • Définition des architectures de référence adaptées aux différents cas d’usage et ’élaboration des documents techniques (HLD,LLD …) • Participer avec le Dev teach Lead à la standardisation des architectures applicatives permettant la réutilisation des composants, l’industrialisation des déploiements et la scalabilité des solutions métiers (use cases métiers (ex : Safety Barrier Degradation, Productivity & Injectivity Analytics Tool) • Conception et implémentation de modules Terraform standardisés pour les ressources Azure, garantissant le respect des normes (naming, tagging, sécurité, policies) • Mise en place de templates Azure DevOps pour l’automatisation du déploiement d’infrastructures sur les environnements Dev, Preprod et Production : Azure VNet ;Azure Container Registry ; PostgreSQL Flexible Server ;App Service Environnent / App Service Plan ;Azure App Services & Function Apps ;Key Vault, Storage Account ; Log Analytics Workspace ; Application insight. • Implémentation de chaînes CI/CD pour le déploiement d’applications conteneurisées (App Services, Function Apps) avec : Azure DevOps, SonarCloud (qualité de code) , Trivy (scan de vulnérabilités) Infrastructure interne Fieldbox : • Contribution à la définition de la roadmap DevOps (moyen et long terme) • Gestion des mises en production sur des clusters K3s et GKE avec Gitlab CI/CD pipelines .Harbor ,Helm ,Vault • Pilotage d’un projet de refonte de l’infrastructure réseau : Optimisation des VLANs (Vmware Esxi VLAN) ; Optimisation des VPCs (GCP) ; Review des règles firewall sur Pfsene et GCP . • Maintien en conditions opérationnelles du stack DevOps : Kubernetes Clusters (GKE, K3S,AKS) , GitLab, Harbor, Nexus, Sentry • Gestion des incidents en exploitant le stack de monitoring : Prometheus ,Vector, Loki,Mimir et Grafana . Stack Technique: Azure, GCP, GKE , K3S , App service , Function app, Terraform , Azure Devops , Gitalb ,Harbor , Log analytics workspace , Prometheus , Loki , Mimir , Velero , Teleport ,OpenVPN, Pfsense ,ESsxi ,Vcenter Nakivo ,Vault HCP

– Company : Federation Football France[FFF]: – Mission: – Manage and control the Azure cloud platform and continuously improve the deployment via Infrastructure as Code (Terraform, Kubernetes, Helm, Docker). – Run and operate the Platform Kubernetes clusters (Azure AKS) – Run the platform's logging and monitoring Stack with Datadog on Azure cloud service: – Monitor azure service by deploying Datadog metrics and Dashboards: Azure AKS clusters ; Azure Vms ; Azure application gateway – Create and deploy datadog custom metrics (based on Python scripts) thats help to monitor specific services. – Deploy, secure and run modern Cloud Native Apps based on microservices architecture by using Azure Devops pipelines – Consulting on design and best practices (mostly around Terraform, Azure, Kubernetes, ...) – Provide technical documentation of project, creation of DAT and instruction documents – Cloud Infrastructure management: – Azure AKS : 4 clusters (more then 300 pods) – Netwoks &Security : Vnet ;Subnets; NSGs; Azure firewall – Azure Vms (Linux,Microsoft vms) – Secret management: Azure Key Vault – Azure devops platform – Technologies and Tools: – Azure cloud (AKS, Vnet, VMs, Azure AD, Backup service, SP, NSGs..), Kubernetes, Azure Devops, Terraform, Datadog,Python ...

– Terraform the Sigma stack: the project consists of setting up a Terraform code which allows SIGMA to manage the tenants and subscriptions of new Azure clients, this stack is made up of 4 bricks: – Security Stack: which allows you to deploy and manage the following resources: – # Managed services to delegate resource management. – # Custom policies – # Management of administrator accounts – Stack management: in this brick we deploy the sigma hub with the following Azure resources: – # Resource group management, – # Networking resources: Vnet hub with 2 subnets (gateway and management), Vnet peering + Application security group + Network security group. – # Resource connection: Linux machine which plays the role of a Jumpbox, Azure VPN – # Azure storage account and azure key vault – Stack monitoring: allows you to deploy several resources relating to monitoring: – # Resource group monitoring – # Log analytics workspace – Stack Backup: allows you to deploy several backup-related resources: – # Resource group backup – # Storage account, – # Recovery services Vault – # Automation account with 1 Runbook, Action group – Automate this Terraform deployment by setting up a pipeline.

– For an insurance company, I helped to set up the EKS platform, which is used to build and run python apps. Specifically, I: – Set up a Jenkins pipeline to build, scan, and push app Docker images, and to deploy the apps on the Elastic Kubernetes Service (EKS) platform. – Deployed the EKS platform into different environments using Terraform. – Used Helm charts to package K8s resources. – Ensured technical documentation of the project. – Skills required: EKS, Terraform, Docker, Helm, Python, Flask.

– Context: – In a context of training on DevOps tools, I worked on setting up the CI/CD chain. – Tasks: – Deploy a SpringBoot application on Kubernetes using AWS EKS and Jenkins. – Deployment of a python-based Django application on Amazon ECS with Docker ; ECR and Cloud Formation. – Set up a CI/CD pipeline to automate and improve the process of developing java applications using : Jenkins ; Maven ; SonarQube ; Git – Tools & Environment: – Linux, VM, Jenkins, Docker, AWS EC2, AWS ECR, Cloud Formation, Python, Django...

– Analyze the requests /need of the operational logistics team and define the functional specifications. – Perform User acceptance testing (UAT). – Responds to requests for clarification from development teams. – Contributes to agile meetings with development teams. – Monitoring of logistics applications and IT-logistics flows. – Monitoring of the measurement of customer satisfaction. – Define and monitor projects KPI with Power BI – Technologies: SAP/Supply Chain/Scrum/ Project management/ Pack office (Word/PowerPoint/Excel/Visio/Power Bl.