DevSecOps Lead Kubernetes, Rancher & RKE2

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.