Slim S.

🎯 Mission: Technical assessment of workplace and deployment environments. 4-week engagement aimed at evaluating user environments (workstations, VDI) and application environments (development, integration, testing, production), identifying pain points, and proposing improvement areas aligned with industry standards. 🏗️ Deliverables / Achievements:  - Assessed the maturity of on-premise environments and explored a gradual migration to Azure.  - Contributed to defining a target vision incorporating DevOps best practices, standardization, and automation.  - Evaluated solutions such as GitHub Codespaces and Dev Containers as part of improvement options.  - Acted as a technical advisor, providing practical recommendations and on-the-ground expertise based on interviews with IT and business teams.  - Consolidated findings and recommendations into a 40-page audit report. 🛠️ Environment: On-premise, VDI, Citrix, DevOps, CI/CD, assessment of potential migration to Azure.

🎯 Mission : Lead Architect pour la conception "Greenfield" (page blanche) de la plateforme "Airbus World". Construction d'un nouvel écosystème "From Scratch" pour soutenir l'innovation, indépendamment des flux de migration legacy. 👥 Contexte : Tech Lead au sein d'une Squad Cross-fonctionnelle (UX, Dev, PO) en alignement avec les Architectes d'Entreprise & de Domaine. 🏗️ Architecture stratégique & livrables : ▪ Stratégie & Cadre : Définition des Exigences de Haut Niveau alimentant le Whitepaper (pivot Cloud Agnostic) et établissement du Cadre d'Architecture opérationnel. ▪ Études Préliminaires (Normes) : Définition des normes pour la Recherche Déléguée (multi-moteurs), les Notifications et la logique "Persona-Driven". Validation des Micro-Frontends pour le "Cockpit Unifié" (tableaux de bord découplés). ▪ Build vs. Buy : Analyse comparative stratégique pour l'intégration du Processus de Vente (Custom AWS vs SAP Commerce, Salesforce, Liferay). ▪ Modélisation : Production des artefacts ArchiMate de référence (Business/App/Tech via Sparx) et diagrammes d'infrastructure AWS. ⚙️ Ingénierie cloud & full-stack (hands-on) : ▪ Évolution d'Architecture : Conception d'un MVP Serverless (Lambda) pour prototypage, puis ré-architecture vers ECS Fargate (roadmap EKS) pour s'aligner sur la stratégie Agnostique. ▪ Développement : Réalisation pratique de prototypes ReactJS (validation UX/UI) et microservices Python (Logique & Accès Données via DynamoDB/Neptune). ▪ IaC & DevOps : Développement de scripts AWS CDK/CloudFormation et pipelines CI/CD (Jenkins, SonarQube) pour industrialiser le déploiement. 📊 Data & intégration IA : ▪ Search & Analytics : Conception des patterns API pour la recherche déléguée (OpenSearch, MongoDB, Palantir) et intégration de PostHog (SaaS). ▪ Machine Learning : Définition du processus d'Apprentissage Supervisé (données labellisées) pour prédire les classes utilisateurs et permettre la personnalisation dynamique.

🎯 Mission : Lead Integration Architect (Programme Harmonisation RH). Modernisation de l'écosystème Oracle HCM : remplacement des opérations manuelles par une chaîne de livraison 100% automatisée, sécurisée et Cloud-Native. 👥 Contexte : Tech Lead d'une Squad Cloud & Intégration (5 Admins OCI, 1 Dev Backend), pivot entre les métiers RH et l'infrastructure groupe. 🏗️ Architecture & stratégie d'intégration : ▪ Intégration Système : Intégration d'Oracle HCM, OCI et OIC dans l'écosystème global avec flux automatisés vers le DataHub central. ▪ Source de Vérité Unique : Centralisation des configurations, scripts IaC et packages OIC dans un repo GitHub unique (élimination des dérives). ▪ Gestion des Artefacts : Implémentation de Nexus pour le versioning des jobs/scripts OIC et la réplication rapide des environnements. ⚙️ DevOps & automatisation (hands-on) : ▪ Optimisation Drastique : Pipelines GitHub Actions réduisant le provisionning de 3 semaines (4 pers.) à ~15 min (100% automatisé). ▪ Infrastructure as Code : Provisionning OCI automatisé via Terraform et plateforme interne, avec HashiCorp Vault pour la gestion des secrets. ▪ Tests Automatisés : Implémentation de suites API via Bruno CLI (alt. Postman) validant la logique métier et les configs Oracle HCM. 🧠 Continuous learning & IA : ▪ Certifications : Expert Multi-Cloud avec 10+ certifications actives sur AWS (SolArch Pro, DevOps Pro, ML, Data) et OCI (Architect, AI). ▪ Productivité : Usage quotidien de l'IA Générative pour accélérer le développement de scripts et la documentation. 🛠️ Environnement technique : Oracle HCM SaaS, OCI, OIC, Terraform, HashiCorp Vault, Bruno CLI / Newman, Scality S3, GitHub Actions, Nexus, Jira, Confluence.

🎯 Mission: Designed and delivered a digital anomaly tracking system for aircraft fleet management, replacing manual paper processes. Provided a modern AWS-based solution with anomaly reporting, document handling, and MRO access delegation 🏗️ Architecture & Development: - Designed an AWS architecture: AppSync (GraphQL), Lambda (Python), Neptune (graph DB), S3 for document storage, Cognito/OneLogin for IAM - Implemented a role & entity-based permission model (inspired by Salesforce profiles/permission sets & sharing rules), with object-level rights stored as Neptune nodes and MRO delegation - Built backend in Python, incl. CSV batch import (Palantir/Skywise → Neptune) - Optimized Neptune queries (writes cut from >1min to ~6s with AWS SA/support) - Created a JPA-inspired DB abstraction layer for Neptune to enable modularity and future migrations. - Experimented with Strawberry & Pydantic for API/data validation - Supported frontend (Vue.js/JavaScript) ⚙️ DevOps & CI/CD: - Enhanced workflows: SonarQube gates, artifact centralization, externalized Python deps - Provisioned IAM & multi-env with Terraform (Cognito + OneLogin) - Automated S3/CloudFront deployments via Terraform & AWS CDK - Applied GitHub feature branch workflow with reviews & quality gates ✅ Testing & Quality: - Automated tests (PyTest, Pylint, Postman) catching ~90% of API issues - Documentation & traceability via Confluence & terraform-docs 📅 Methodology & Coordination: - Scrum (3-week sprints) - Multi-role contribution (Backend, Frontend, DevOps, Architecture) - Squad: PM, SA, BA, 2 FE, 2 BE, 1 DevOps 💡 AI & Productivity: - Daily use of Generative AI for documentation — ~10% productivity gain 🛠️ Environment: Python – GraphQL (Strawberry) – Vue.js – PyTest – Pylint – AWS (AppSync, Lambda, S3, Neptune, Cognito, Parameter Store, Secrets Manager, DynamoDB, CDK, CloudFront) – Terraform – Jenkins – SonarQube – Palantir/Skywise – Nexus – OneLogin – GitHub – Jira – Confluence

🎯 Mission: Migration of an on-premise Drupal application to AWS, leveraging managed containerization (ECS Fargate) as part of a modernization initiative without full refactoring 🧩 Training & Learning: - Followed Docker Certified Associate training modules (not completed, used as support for the Drupal-to-AWS migration project) 🏗️ Architecture & Development: - Containerized and deployed Drupal on AWS Fargate with Docker - Configured infrastructure directly through AWS console - Developed an AWS Lambda (Python) for email management and delivery ⚙️ DevOps & CI/CD: - Implemented pipelines with GitHub Actions. - Managed versioning, builds, and container deployments via GitHub & ECR 📅 Methodology & Coordination: - Small delivery team: 1 Ops, 1 DevOps 🛠️ Technical Environment : Python – AWS (ECR, ECS Fargate, SNS, Lambda) – Docker – GitHub – GitHub Actions

🎯 Mission: Migration of multiple on-premise applications to AWS via the AWS MAP program, building a reusable Terraform + GitLab CI + Packer stack to accelerate and standardize deployments. Delivered production migrations for PHP, Node.js, and COTS applications (e.g., Jasper Reports) 🏗️ Architecture & Development: - Designed and implemented a generic Terraform + GitLab CI + Packer stack for AWS (ALB/NLB, Route 53, RDS, Parameter Store, Secrets Manager) - Migrated and modernized Constatimmo (Symfony upgrade to latest version, partial refactor, added new features) - Migrated and adapted other apps such as MyFoncia and Wallix using the same stack - Integrated Datadog (APM, logs) and migrated Jasper Reports (versions, templates) ⚙️ DevOps & CI/CD: - Applied infrastructure-as-code best practices (Terraform, Packer, Bash scripting) - Built CI/CD pipelines with GitLab CI for automated builds and deployments 📅 Methodology & Teaming: - Scrum methodology with iterative delivery - Team included several DevOps engineers and developers - Acted as tech lead, guiding a junior developer and mentoring an apprentice (pair programming, code reviews, setting technical direction) 🛠️ Technical Environment: AWS – Terraform – Packer – GitLab CI – Datadog – Jasper Reports – PHP Symfony – Node.js

🎯 Mission: Design and delivery of Société Générale’s group-wide document management platform (GED), replacing costly legacy systems (Documentum + Oracle) as part of the SG–Crédit du Nord merger and cost optimization program 🏗️ Architecture & Development: - Built the GED platform on SG’s hybrid cloud with multi-entity, multi-region, high availability. - Data migration with Spring Batch, including validation, error correction, and harmonization of inconsistent legacy data - Storage model: • Binaries (Word, PDF, Excel, etc.) without encryption / client-side encryption with master key / client-side encryption with master key + data key, stored across Scality (synchronized buckets) and AWS S3 (via Direct Connect) • Metadata stored in MongoDB Enterprise (replica set + sharding) - Developed APIs documented in OpenAPI, integrated with Sparky APIM - Routing & coexistence ensured via GSLB + dual LBs + L7 HTTP routing - Authentication via OAuth 2 Client Credentials flow ⚙️ DevOps & CI/CD: - Automated multi-environment deployments - End-to-end quality gates: unit, integration, functional, performance, and resilience tests - Monitoring & observability with Prometheus, AppDynamics, Kibana - Logging and monitoring: Vortex → Kafka → Splunk/ELK for full-stack observability - Quality gates: unit, integration, functional, performance, and resilience tests 📅 Methodology & Coordination: - Scrum with code reviews. - Team: 1 PM, 4 Backend Engineers, 1 Tech Lead. 🛠️ Technical Environment: Java 8 – Scala – Spring (Boot, Data MongoDB, Batch, AOP, AMQP) – RabbitMQ – OpenAPI 2 – JUnit – Rest-Assured – Mockito – MongoDB (replica set, sharding) – Scality S3 – AWS (EC2, S3, Glacier, IAM, LB, Auto Scaling, ECS, ECR) – Terraform – Jib – Maven – Jenkins – SonarQube – AppDynamics – Kibana – Prometheus – HAProxy – HashiCorp Vault – Gatling – Jira – Confluence

🎯 Mission: Contributed to the development and enhancement of Wynbe, a SaaS debt recovery solution for Altares, focusing on new accounting features and client-specific modules. 🏗️ Architecture & Development: - Participated in the design of applications and web services. - Developed new features using Java EE, Play Framework, and JavaScript (jQuery). - Delivered applications across development, testing, and production environments. 📅 Methodology & Coordination: - Scrum methodology, with regular code reviews. 🛠️ Technical Environment: Java 7/8 – Play Framework 1.2 – AWS (EC2, Aurora MySQL, S3) – SQL – Icescrum

🎯 Mission: Contributed to the from-scratch development of a web platform for tourism service management for Ceetiz, including back-office redesign, data migration, and REST API implementation. 🏗️ Architecture & Development: - Led data migration using Pentaho ETL and MongoDB. - Developed applications with Java EE, Jersey, Spring Data, Hibernate, Jackson, and AngularJS for the front-end. - Designed and implemented REST APIs and modular architecture with OSGi / Apache Karaf / Apache Camel. 📅 Methodology & Coordination: - Scrum methodology, with code reviews. - Team: 1 Software Architect – 4 Front-End – 4 Back-End – 1 PO – 1 ETL. 🛠️ Technical Environment: Java 6 – Pentaho Data Integration – MongoDB – Git – Apache Camel – OSGi Framework – Apache Karaf – Jersey – Spring Data – Hibernate – Jackson – MySQL – AngularJS – Icescrum