À propos de Amine
Seasoned DevSecOps Engineer with a foundational background in applied mathematics and statistics. My career progression from R&D data science to specialized roles in machine learning engineering and software development has finally led to a strong focus on DevSecOps. Proficient in Agile methodologies, I have a proven track record of building, deploying, and maintaining cloud‑native applications in Azure, with a strong emphasis on security, automation, and process efficiency . My experience spans various industries, from startups to large enterprises, where I have consistently prioritized product and user‑centric
solutions and technology best practices. I thrive in collaborative environments, working closely with cloud architects and technical leads to drive innovation and cost‑effective solutions. Passionate about enhancing team productivity and project outcomes through effective communication and innovative technology integration. My expertise Infrastructure as Code, GitOps, cloud security best practices, and cost optimization (FinOps)
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Arabe
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- DiGiTAL FACTORY (TDF)DevSecOps EngineerAGENCE & SSIIseptembre 2020 - janvier 2025 (4 ans et 4 mois)Paris, FranceAs a DevSecOps Engineer I lead the building and deployment of multiple secure infrastructures on Azure for multiple cloud‑native applications. I work in collaboration with cloud architects, tech leads, and developers, focusing on automation, performance, security, and finops.• DevSecOps leadership in Agile settings, deploying multiple cloud‑native applications on Azure.• Architectures Design, closely with technical stakeholders across teams. Architecture reviews. ADR.• Administration of multiples subscriptions across products.• Infra as Code with Terraform, deploying robust and scalable infrastructures.• Gitops (CI/CD) using GitHub Actions. (Workflows, private runners, GitApps, federated identity & OIDC (MSAL)).• Scripting for tasks automation using PowerShell and Bash.• Cloud Security implementation. (Managed Identities, Passwordless, Checkmarx, Gitguardian, Wiz, Sonarqube, OIDC, KV).• Network security implementation (VNet injection, subnets, private endpoints, NSG, Bastion & Jumbox).• RBAC roles implementation across services maintaining strict access & security policies.• Azure Entra Id, leveraging groups, app registrations, and roles to implement secure authentication & authorization strategies with SSO.• High‑availability and scalability implementation with auto‑scale strategies.• Monitoring & dashboarding using Azure Monitor, Application Insights, Log analytics workspace and Azure Dashboards.• DORA metrics monitoring using grafana and devlake (Jira, Github).• Azure services expertise including App services, function apps, managed SQL server & PostgreSQL, Databricks workspaces, Datafactory, Azure Container Registry, Azure Container Instance. Integrations with Java Spring, FastAPI and Angular frameworks.• DevOps Community contributions with Technical mentoring, REXs, presentations, workshop animation, innersourcing.• Product scoping: roadmaps, skills matrix, ways of working, MVE design, story boarding, backlog filling, personas.
- DINUMDigital Solutions DeveloperAGENCE & SSIIjanvier 2020 - août 2020 (7 mois)Paris, FranceDINUM is responsible for developing the french State's digital strategy. I was part of a team of +20 developers organized into skills sub‑teams developing rapid‑response digital solutions during the COVID crisis, I worked on the backend of data applications• Developed Python back‑ends for two django data applications. Software craftsmanship, Clean architecture, TDD.• Orchestration with Celery. ORM & data migrations with SQLAlchemy, and Alembic.• Deployed application and managed PostgreSQL on Scalingo Cloud using GitLab CI for fast deployment and scalibility.• Enhanced data‑driven decision‑making through data analyses and visualizations for essential services like mask distribution.
- L'ORÉAL ‑ TALAN SOLUTiONSData & ML EngineerAGENCE & SSIImars 2018 - juin 2019 (1 an et 3 mois)Paris, FranceAs a member of L'Oréal Group's transverse Data Science team, I contributed to evangelizing data science across the organization. My responsibilities included delivering proofs ofValue, working on innovative data products, and producing and deploying data‑driven applications.• Co‑designed Text matching algorithm to consolidate internal sales data sources with recurring panelists retail data.• Co‑designed a Collaborative Filtering algorithm to recommend the most relevant products to sales representatives.• Mentored a trainee in developing a Fraud Detection algorithm to identify fraudulent re‑sales of exclusive L'Oréal professional products.• Engineered robust Python data solutions, adhering to TDD and best practices to ensure code reliability and maintainability.• Maintained a PySpark application on Cloudera, ensuring seamless operation and performance. Working experience with Hive.• Refactored jupyter notebooks intodeployable Python package. Wrote Shell scripts & Makefiles for packaging, automation, and tests.
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Formations
- PROFESSiONALOCTO Technology2020PROFESSiONAL
- MASTER iN STATiSTiCS & BACHELOR iN APPLiED MATHEMATiCSUniversity Pierre et Marie CURIE (Paris VI)2015MASTER iN STATiSTiCS & BACHELOR iN APPLiED MATHEMATiCS