Abdeldjalil Sichaib

Led the architecture, design, and deployment of Legrand’s Azure-based AI Platform (AI Foundry), enabling secure, scalable AI/ML workloads across business units. • Designed and implemented a hub-and-spoke model with shared services (Azure OpenAI, AI Search, Fabric, OneLake), ensuring secure multi-project isolation via private endpoints and managed identities. • Designed and implemented a standardized data ingestion and transformation framework using Azure Data Factory and Microsoft Fabric pipelines • Structured the data ingestion framework from 15+ enterprise sources (ERP, Salesforce, SharePoint, etc.) using Azure Data Factory and API-first strategy • Defined and enforced cloud infrastructure standards using Terraform, Azure DevOps pipelines, and CI/CD best practices. • Drove platform governance for FinOps, backup, DR, monitoring, identity management, and security compliance (Zero Trust, SOC integration)

Designed and operated Kubernetes architectures with a sharp focus on data workloads—hosting Spark, Trino, MLflow, PostgreSQL, TensorFlow, and Postgres—to enable scalable, secure, and cost-efficient data platforms. • Defined Kubernetes patterns across infrastructure, application, and data layers, supporting global internal clients (EMEA, APAC, AMER) while driving GitOps using Rancher Fleet and Argo CD. • Created managed AKS service offerings, handling cluster deployment, networking, and Terraform-driven CI/CD via Azure DevOps. • Implemented a Kubernetes hardening framework automated with Ansible to ensure compliance and consistent security across AKS clusters. • Created transformation workflows using Spark-on-Kubernetes in AKS and Trino using Helm. • Managed end-to-end ML training workflows: trained models with TensorFlow and Spark, tracked experiments using MLflow backed by PostgreSQL, and deployed models on AKS via MLflow Docker images with KServe/MLServer. • Embedded observability through Prometheus and Grafana, enforced resource quotas, node affinities, persistent volumes, and secure access with ConfigMaps/Secrets, following Kubernetes data-engineering best practices.

Directed cloud assessment operations in alignment with (CAF) principles, ensuring an effective transition and utilization of cloud capabilities. Piloted the modernization and migration of the KTM Platform to the cloud. Architected a robust Kubernetes infrastructure, enhancing the scalability and resilience of cloud operations. • Orchestrated POC activities for monitoring using Elastic and Dynatrace, driving continuous improvements in system observability and issue resolution. • Engineered and automated Azure policies for comprehensive security control using CI/CD pipelines, bolstering the organization's security posture. • Delivered High-Level Design (HLD) and Low-Level Design (LLD) documentation, offering a detailed roadmap for successful cloud solution implementation.

Translated business requirements to Cloud solutions (Azure & AWS). Aided Automation and Operations teams to build and run services. Deployed application modernisation and containerisation strategies. Collaborated with Global CTO, Project teams, and Public Cloud CCoE. • Built Cloud Native architectures for on-premises applications on Cloud landing zone (PaaS and Containers) based on group’s cloud security requirements by assisting Project teams. • Implemented FinOps strategy based on FinOps foundation framework (Inform, Optimise, Operate).

Defined Cloud Governance as well as deployed framework for groups and brands. Implemented identity framework (Hybrid Active Directory worldwide) as well as security strategy and components. Assisted Maisons to choose between Azure and GCP, whilst evaluating workloads and technical comparisons between both providers. Directed Global Azure Cloud architecture references with IaaS, Network, PaaS, Containers, and Serverless. • Devised application modernisation approaches based on company standards, such as Rehost with PaaS, Refactor with containers, and Re-architect. • Drove group roadmap and cloud objectives by working with Providers (Microsoft and Google) as well as overseeing Service Providers. • Set up LVMH Brands, including Dior, Foundation Luis Vuitton, Céline, and Kenzo in Cloud migration and DevOps industrialisation with Scrum. • Executed CI/CD chain on Azure DevOps by integrating GitHub, Jenkins, and Terraform. • Automated deployment with Infra as Code, whilst leveraging ARM.

Led the design and development of highly available, performant, and secure cloud solutions tailored to customer requirements. Utilized agile Scrum methodology and CI/CD tools in a dynamic Cloud team spanning Azure and AWS platforms. • Designed and automated robust cloud architectures, enforcing governance across the platform. • Conceptualized and built VDI, Bot Services, and Infrastructure projects enhancing business capabilities. • Collaborated closely with cross-functional teams to drive product development cycles and ensured continuous enhancements and prompt resolution of issues. • Facilitated application modernization initiatives by incorporating container technologies like Docker and Kubernetes.

Created Azure architecture document for Sodexo group. Organised workshops with network, security, infrastructure, and identity teams to set up Azure. Led various workshops with Internal EU/US, partners, and Microsoft. Designed Big Data and IoT projects within group. • Executed Azure Global strategy with subscription model, governance, Tags, RBAC, billing models, operational models, standards, and security policies. • Developed personalised service catalog with IaaS and PaaS services.

• Audit and implementation of Microsoft infrastructure and Unified Communication solutions. • Migration from On-Premise to cloud services (Azure IAAS, Office 365, EMS) with Hybrid architectures. • Participating in presales activities and preparing technical offers.

 Driving technically the business opportunities for Key accounts (Oil & Gas, Telco’s, Banks, Education, and Public) in accordance with the Microsoft methodology: • Perform qualifications, define strategies, milestones and leverage resources, • Establish a technologies roadmaps with the different accounts, • Define and execute the strategy in conjunction with services team, • Identify and propose solutions partners and third, • Project management (actors, issues, deliverables, schedule, customer feedback…), • Participate in the opportunities management, • Establish a deep evaluation and search new related opportunities,  Participating in technical activities on the different opportunities: • Study, analysis and response to customers RFPs, • Evaluate the needs of customers, • Present the vision and technologies (Cloud, Enterprise Mobility, Big Data, Social…), • Perform optimized and model architectures, • Realizing a Proof of Concepts on different solutions, • Study and knowledge of competitive offering,