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We’re Hiring | DevSecOps Lead – Kubernetes, Rancher & RKE2 📍 Location: Dubai, UAE 💼 Experience: 8+ Years 🔹 Role: DevSecOps Lead / Kubernetes Platform Lead We are looking for an experienced DevSecOps Lead with strong hands-on expertise in Kubernetes troubleshooting, Rancher Manager operations, RKE2 clusters, GPU Operator deployments, CI/CD automation and GitOps. The ideal candidate should have proven experience managing enterprise-grade Kubernetes environments, resolving complex infrastructure issues and implementing secure, scalable cloud-native platforms. 🔹 Key Responsibilities ✅ Lead Kubernetes cluster operations, troubleshooting, performance optimisation and production incident resolution. ✅ Install, configure, manage and troubleshoot Rancher Manager and RKE2 clusters. ✅ Deploy and manage NVIDIA GPU Operator on RKE2, including GPU workload enablement and troubleshooting. ✅ Design and implement automated CI/CD pipelines and GitOps workflows using ArgoCD, Jenkins, GitHub Actions or Azure DevOps. ✅ Implement Kubernetes security best practices, RBAC, secrets management and container security scanning. ✅ Manage cloud-native infrastructure across Azure, AWS and hybrid-cloud environments. ✅ Automate infrastructure provisioning using Terraform, Helm and scripting. ✅ Support monitoring and observability using Prometheus, Grafana and related tools. 🔹 Must-Have Skills Strong hands-on Kubernetes administration and advanced troubleshooting experience. Practical experience with Rancher Manager installation, configuration and operations. Hands-on RKE2 cluster deployment, management and troubleshooting. Experience with NVIDIA GPU Operator deployment and GPU workloads on Kubernetes, preferably RKE2. Strong CI/CD automation and GitOps implementation experience. Knowledge of Kubernetes security, networking, storage and container orchestration. Experience with cloud infrastructure and Infrastructure as Code. 🔹 Good to Have CKA / CKS certifications. VMware Tanzu, AKS or EKS. HashiCorp Vault, Trivy, SonarQube or AquaSec. Azure AI Foundry or AI/ML infrastructure integration. Experience supporting enterprise or regulated environments.