Hamza ZINEDDAINE

Designed and led the implementation of enterprise-scale multi-cloud and cloud-native platforms across Azure, GCP, OpenShift and VMware environments, with a strong focus on Kubernetes, platform engineering, automation, governance, and operational excellence. Responsible for defining scalable, secure, and resilient cloud architectures supporting both business-critical applications and modern data platforms, while driving cloud transformation, datacenter modernization, and hybrid cloud initiatives. Key Contributions • Architected and operated enterprise-grade Azure Cloud Platforms supporting critical business applications and cloud-native workloads. • Designed and implemented Azure Landing Zones, networking architectures, governance frameworks, security controls, and operational standards. • Managed and optimized Azure Kubernetes Service (AKS) platforms to ensure scalability, resilience, security, and operational efficiency. • Defined and implemented FinOps, observability, and automation strategies across Azure and hybrid cloud environments. • Contributed to the architecture and evolution of modern Data Platforms hosted on GCP, supporting Data Engineering, Analytics, and Data Science workloads. • Implemented Data Fabric principles to improve data accessibility, governance, interoperability, and cross-domain collaboration. • Participated in the modernization of legacy data platforms through the adoption of Kubernetes-based and cloud-native architectures. • Led the migration and standardization of Kubernetes environments toward OpenShift running on VMware infrastructure. • Designed highly available container platforms supporting both business applications and large-scale data workloads. • Implemented GitOps and Infrastructure as Code practices using ArgoCD, Helm, Terraform, and Terragrunt to automate platform lifecycle management. • Defined multi-tenancy, security, and governance models across Kubernetes and OpenShift environments. • Designed hybrid cloud architectures integrating Azure, GCP, and VMware environments through secure connectivity and workload portability patterns. • Enabled interoperability between cloud-native services and legacy on-premise infrastructures as part of enterprise modernization programs. • Implemented platform security controls including RBAC, secrets management, compliance frameworks, and cloud security best practices. • Built comprehensive observability platforms leveraging Prometheus, Grafana, Loki, and cloud-native monitoring services. • Drove cloud cost optimization initiatives across Kubernetes, Azure, GCP, and hybrid cloud platforms through FinOps governance and operational best practices. • Collaborated with platform, infrastructure, security, and data teams to deliver scalable, secure, and enterprise-ready cloud-native solutions.

Designed and led the implementation of enterprise-scale cloud-native platforms on Azure, with a strong focus on Kubernetes (AKS), platform automation, and DevSecOps practices. Responsible for defining scalable and resilient architectures supporting high-traffic e-commerce workloads, including peak events such as Black Friday, ensuring high availability, performance, and cost efficiency. Key Contributions • Architected and operated Azure-based Kubernetes platforms (AKS) supporting large-scale production workloads. • Designed scalable and resilient cloud architectures capable of handling extreme traffic spikes during major retail events. • Implemented Infrastructure as Code and platform automation using Terraform, Terragrunt, and Ansible. • Established GitOps workflows with ArgoCD to enable automated and reliable application deployments. • Built and optimized CI/CD pipelines to modernize deployment processes and integrate legacy applications into cloud-native environments. • Implemented DevSecOps practices including security automation with Azure Defender, Azure AD integration, and service mesh (Istio). • Designed observability and monitoring strategies, enabling proactive performance optimization and system reliability. • Introduced FinOps strategies and multi-tenancy models to optimize cloud cost management. • Evangelized container and cloud-native adoption, mentoring teams on Kubernetes, Docker, Helm, and DevOps best practices. • Collaborated with security, platform, and operations teams to ensure compliance, reliability, and operational excellence.

Contributed to the design and implementation of secure and scalable cloud-native platforms supporting containerized workloads and multi-cloud environments. Worked closely with development and operations teams to implement DevOps best practices, Kubernetes-based platforms, and automated delivery pipelines across AWS environments. Key Achievements • Designed and deployed OpenShift clusters on AWS, enabling scalable and resilient container platforms for enterprise workloads. • Implemented GitOps-based CI/CD pipelines, improving deployment automation and consistency across environments. • Built monitoring and alerting solutions using Prometheus and Grafana to enhance platform observability and operational reliability. • Supported cloud migration initiatives, helping teams transition workloads to AWS infrastructure. • Established secure and scalable DevOps environments aligned with cloud-native architecture principles. • Mentored engineering teams on DevOps practices, Kubernetes operations, and automation strategies.

Worked on enterprise cloud and data platforms for major clients including SNCF, RATP, Thalys, and Capgemini Group, focusing on the design and implementation of cloud-native infrastructures, DevOps automation, and Kubernetes-based platforms for large-scale, production-critical environments. Played a key role in delivering Azure-based data, AI/ML, and application platforms, driving architecture decisions, improving system reliability, and supporting large-scale cloud transformation initiatives. Key Achievements • Designed and implemented scalable Big Data platforms on Azure (Data Factory, Data Lake, Power BI), enabling efficient data ingestion and analytics. • Architected and deployed MLOps pipelines using Azure ML and AKS, enabling end-to-end model lifecycle management for production AI workloads. • Built and industrialized CI/CD pipelines using Azure DevOps, Jenkins, and GitHub Actions, improving deployment speed and reliability. • Designed and operated Kubernetes (AKS) and OpenShift platforms, ensuring high availability, autoscaling, and performance at scale. • Automated infrastructure and deployments using Terraform, ARM templates, and Ansible, enabling reproducible environments. • Implemented monitoring and observability solutions (ELK, Prometheus, Azure Monitor), improving alerting and incident response. • Managed Azure SQL environments, implementing backup, disaster recovery, and high availability strategies. • Led CI/CD modernization initiatives, including migration to GitHub Actions, improving flexibility and maintainability. • Supported cloud migration programs, moving legacy systems to scalable Azure environments with minimal disruption.