Cloud, AI and DevOps Engineer (Azure, AI & Kubernetes) (M/F)

About the role

Who are we? ExpertNow is a human-sized structure where proximity management is our lever. At ExpertNow, we support the digital transformation of major industrial and service players. We work on strategic, high-impact projects, placing human expertise, agility, and innovation at the heart of our commitments. We are looking for a Cloud & DevOps engineer to strengthen our infrastructure team. You will work on the operation, automation, and security of Azure and Kubernetes platforms serving internal applications, in an environment with demanding compliance and security requirements. Main missions Infrastructure & Kubernetes Ensure daily operation of Azure and Kubernetes platforms (AKS, ACR, Azure DevOps, Key Vault, DNS, Storage, Network, VM) Supervise platform services and perform capacity checks to anticipate resource and storage issues CI/CD & Automation Design and maintain CI/CD pipelines (Azure Pipelines, GitLab CI, Jenkins) with self-hosted agents Configure Kubernetes deployments with Kustomize and Helm Integrate security checks (SonarQube, Trivy) into pipelines Manage secrets and credentials via Azure Key Vault Provision and configure infrastructure with Terraform and Ansible (playbooks, roles) Observability & Compliance Create and maintain monitoring dashboards (Grafana, Azure Monitor Agent, KQL, Prometheus) Perform CIS audits aligned with ISO 27001 standards (Azure & GCP), including automated SQL checks and manual reviews Contribute to a Zero Trust-oriented network architecture AI & Azure AI Contribute to the integration of Azure AI services (Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, Cognitive Services) into existing platforms Participate in the industrialization of AI/ML workflows (MLOps) by leveraging existing CI/CD, IaC, and observability foundations Explore use cases for intelligent automation and AI agents for platform operation and monitoring Desired profile Engineering degree (computer science, information systems, or related field) About 3 years of practical experience in Cloud & DevOps Appreciated certifications: AZ-104 (Azure Administrator Associate), AZ-400 (DevOps Engineer Expert), GCP-ACE (Google Cloud Associate Cloud Engineer) Main technical skills Cloud: Azure (AKS, ACR, Azure DevOps, Key Vault, DNS, Storage, Network, VM); knowledge of GCP (CIS audit) and AWS (EC2, S3, RDS) appreciated Azure AI: Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, Cognitive Services, AI/ML (MLOps) Containers: Kubernetes (AKS), Docker Kubernetes deployment: Kustomize, Helm CI/CD: Azure Pipelines, GitLab CI, Jenkins GitOps: Argo CD (a plus) IaC: Terraform, Ansible DevSecOps: SonarQube, Trivy, CIS benchmarks, ISO 27001, Zero Trust Observability: Prometheus, Grafana, Azure Monitor Agent, KQL, ELK/Graylog Linux & VM: Ubuntu, Hyper-V, systemctl, iptables, cron, shell scripting Secondary skills appreciated Python scripting (automation, API, web scraping), Bash, PowerShell Databases: PostgreSQL/PostGIS, MySQL, MongoDB Collaborative tools: Git, GitHub, GitLab, Azure DevOps, Teams Languages: Trilingual (mandatory): to manage incidents and communicate with our clients from Paris to Riyadh (KSA), perfect command of French, English, and Arabic is essential. A plus Additional experience in geospatial data platforms (GIS) or full-stack development (Python/Django, Flutter) will be valued. Join a team where you will manage critical Azure/Kubernetes environments, with a strong focus on security and compliance.