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.
🏢 About Wypoon Technologies
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!
🎯 The Role
You will work across Kubernetes environments, cloud networking, identity and access management, API security and observability, collaborating closely with AI Engineers and Security specialists.
✅ 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, anomaly detection and security observability
Support security and governance requirements including ISO 27001, GDPR and the EU AI Act
📌 Required Qualifications
5+ years of experience with software development and/or platform engineering
Hands-on cloud platform engineering experience, preferably within AI/ML environments
Strong hands-on experience with both Azure and GCP
Kubernetes experience with AKS and/or GKE
Expert-level Terraform and Infrastructure-as-Code experience
Experience with GitOps and CI/CD pipelines
Strong knowledge of IAM, RBAC/ABAC and workload identity
Experience with cloud networking, VNet/VPC segmentation and private endpoints
Experience with policy-as-code and continuous compliance
Strong security-first engineering mindset
⭐ Desirable Experience
Experience securing AI/ML or LLM platforms
LLM guardrails, prompt injection prevention or content filtering experience
MCP gateway or similar tool-level access control experience
Experience with OpenTelemetry, Prometheus, Loki, Tempo or Grafana
Knowledge of ISO 27001, EU AI Act and GDPR
Experience with GPU workloads or GPU-enabled Kubernetes environments
🎁 Benefits
Join Wypoon Technologies, where your expertise will thrive, your ideas will be valued, and your career will reach new heights.
🛂 Visa & Eligibility
We provide full support with visa processes, making your transition smooth and hassle-free if you are dreaming of living and working in the Netherlands or Belgium.
Please let Wypoon Technologies know that you found this role at devopsprojectshq.com as a way to support us, so we can keep providing you with awesome DevOps jobs.
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