Wypoon
We are looking for an experienced AI Security Engineer to help secure enterprise and scientific AI platforms operating across Azure and GCP. In this role, you will translate AI security controls into secure, production-ready platform configurations. This is a hands-on engineering position rather than a policy or advisory role. You will build infrastructure-as-code, security controls, CI/CD gates and continuous compliance mechanisms that ensure AI workloads meet security and governance requirements. You will work across Kubernetes environments, cloud networking, identity and access management, API security and observability, collaborating closely with AI Engineers and Security specialists. Why Join Us? At Wypoon Technologies, you’ll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell, tackling exciting challenges and delivering tailored enterprise solutions. Here’s what makes us stand out: ✔ Impactful Work: Shape the future of our clients’ digital landscapes. ✔ Innovative Environment: Collaborate within a supportive team that values learning and growth. ✔ State-of-the-art technology: Access the latest tools and platforms. ✔ Global Opportunities: Are you dreaming of living and working in the Netherlands or Belgium? We provide full support with visa processes, making your transition smooth and hassle-free! #LI-DNI Key Responsibilities • Translate AI security requirements into technical platform configurations across Azure and GCP • Build and maintain Terraform modules for secure AI infrastructure • Implement GitOps and CI/CD security gates using Azure DevOps and/or GitHub Actions • Configure and secure Kubernetes environments using AKS and GKE • Design VNet/VPC segmentation and private endpoints • Implement IAM, RBAC/ABAC, least-privilege access and workload identity • Develop policy-as-code and continuous compliance controls • Build secure API integration layers for AI platforms • Implement monitoring, ano