Mohammed L

Lead DevOps

Air France • Freelance

Jul 2023 - Present • 3 yrs 3 mos

- Designed and implemented an end-to-end automation solution enabling the self-service provisioning and delivery of virtual machines across multiple infrastructure platforms and technical stacks. - Worked closely with solution and enterprise architects to contribute to the design and documentation of target architectures, including High-Level Designs (HLDs), Low-Level Designs (LLDs), network topologies, and architecture blueprints. - Provided technical guidance and advisory support on the selection of the most appropriate Cloud services and capabilities, taking into account the customer’s context, target environment, budget, technical requirements, and constraints. - Designed and developed reusable, standardized Terraform modules, incorporating validation mechanisms, automated testing, and infrastructure-as-code best practices to ensure consistency, reliability, and maintainability. - Deployed, installed, configured, and industrialized Red Hat Ansible Automation Platform (AAP) following a distributed, multi-environment architecture spanning Microsoft Azure, Google Cloud Platform (GCP), and VMware environments. - Designed, developed, and delivered Ansible Automation Platform Job Templates and Workflow Job Templates to automate operational processes and provide self-service capabilities to multiple engineering and operations teams. - Implemented governance and security-as-code mechanisms using Open Policy Agent (OPA) to enforce organizational policies and ensure deployment compliance and adherence to defined security and governance standards. - Integrated infrastructure and automation platforms with AI solutions through MCP (Model Context Protocol) servers, exposing infrastructure and automation capabilities to AI agents and intelligent assistants and enabling AI-driven interaction with enterprise platforms.

Consultant Cloud & DevOps

Thales Alenia Space

Aug 2021 - Jun 2023 • 1 yr 10 mos

- Fully automated the deployment of Kubernetes components, applications, and microservices using Helm charts and CI/CD pipelines, enabling consistent and repeatable deployments across environments. - Integrated automated quality and security testing into CI/CD pipelines to enforce code quality, security, and deployment standards throughout the software delivery lifecycle. - Implemented Kubernetes cluster and application monitoring and alerting, ensuring platform observability, service availability, and proactive incident detection. - Managed and operated IaaS and PaaS services within the Azure Cloud environment. - Implemented Infrastructure as Code (IaC) and Configuration as Code (CaC) practices to automate and standardize infrastructure provisioning and configuration management. - Designed and implemented Infrastructure as Code using Azure Resource Manager (ARM) templates and Azure DevOps build pipelines, enabling automated and repeatable infrastructure deployments. - Automated SQL database schema deployments and data loading processes using Azure Data Factory pipelines and Azure DevOps build and release pipelines, supporting end-to-end data deployment automation. - Implemented event-driven communication between Azure services using Azure Event Grid and Python scripting, enabling loosely coupled and asynchronous service integration. - Developed and maintained PowerShell automation scripts for infrastructure management, deployment automation, and operational tasks.

Consultant Cloud Azure

Devoteam • Full-time

Nov 2020 - Aug 2021 • 9 mos

Migration to Microsoft Azure of a generic DataOps platform designed to support multiple Data projects, combining Big Data and Machine Learning capabilities with a DevOps CI/CD toolchain to industrialize and automate deployment processes: - Analyzed the platform’s functional and technical requirements and assessed Azure Data services to identify the most suitable solutions for the various business and technical use cases. - Conducted a comprehensive benchmark and selection of Azure services, mapping the selected technologies to the different layers of the target functional and technical architecture. - Designed and proposed two target Azure Cloud architectures, providing a detailed analysis of their respective benefits, limitations, technical constraints, and architectural trade-offs. - Performed a detailed Azure cost analysis of the selected services and established an overall platform cost and budget estimate, supporting architectural and technology decisions. - Defined Azure Cloud best practices and standards, covering naming conventions, resource and Resource Group organization, environment segregation, governance, access management, and cost optimization. Implementation and deployment of the target architecture on Microsoft Azure: - Provided technical guidance and knowledge transfer to the Project Manager and engineering teams on Azure governance, Cloud architecture, and the Azure services and technologies adopted as part of the target platform. - Designed and facilitated technical workshops covering Azure services and architectural patterns, enabling teams to adopt, understand, and effectively leverage the selected technologies. - Contributed to the industrialization of the Data platform by integrating DataOps, DevOps, Infrastructure-as-Code, and CI/CD practices into the overall Cloud architecture and deployment lifecycle.