eTeam
Role Name: Cloud/Edge Engineer GKE
Location: Dallas, TX
Duration: 23 Months
Job Description: *Strong experience with Kubernetes (K3s, GKE), Docker, and container orchestration *CloudCore & EdgeCore: Coordination between cloud and edge environments *Google Cloud GKE: Cloud-native Kubernetes deployment and management *Proficiency in API-first development and automation scripting (e.g., Golang, Python) *Experience with K0smotron, Rook.io, Kube Edge, CloudCore, and Ping Identity *Shared Storage Systems: Rook.io, SuperMicro/other hardware storage integration *Experience with observability tools (Prometheus,FluentBit, Grafana) *Virtualization: VM setup and connectivity with shared storage *Identity governance and implementing authorization & authentication using OAuth framework and OpenID *Deep understanding of networking concepts: routing, firewalls, VPNs, load balancing, and service discovery *Familiarity with CI/CD pipelines, GitOps, and DevSecOps practices *Experience with edge deployments in industries like retail, manufacturing, or telecom *Architect and design hybrid cloud-edge architecture that support low-latency, high-availability workloads across distributed environments *Deploy edge clusters using Kubernetes (K3s) to manage and support ~1200 virtual clusters *Integrate shared storage solutions using Rook.io and manage persistent volumes across edge nodes *Implement K0smotron for multi-cluster Kubernetes control plane management *Extend Kubernetes capabilities to edge devices using KubeEdge for real-time device communication *Deploy and manage workloads on Google Cloud GKE for centralized analytics and cloud-native services *Leverage CloudCore for edge node coordination and data synchronization *Collaborate with infrastructure, application and security teams to ensure seamless integration of edge workloads
Job Description: *Strong experience with Kubernetes (K3s, GKE), Docker, and container orchestration *CloudCore & EdgeCore: Coordination between cloud and edge environments *Google Cloud GKE: Cloud-native Kubernetes deployment and management *Proficiency in API-first development and automation scripting (e.g., Golang, Python) *Experience with K0smotron, Rook.io, Kube Edge, CloudCore, and Ping Identity *Shared Storage Systems: Rook.io, SuperMicro/other hardware storage integration *Experience with observability tools (Prometheus,FluentBit, Grafana) *Virtualization: VM setup and connectivity with shared storage *Identity governance and implementing authorization & authentication using OAuth framework and OpenID *Deep understanding of networking concepts: routing, firewalls, VPNs, load balancing, and service discovery *Familiarity with CI/CD pipelines, GitOps, and DevSecOps practices *Experience with edge deployments in industries like retail, manufacturing, or telecom *Architect and design hybrid cloud-edge architecture that support low-latency, high-availability workloads across distributed environments *Deploy edge clusters using Kubernetes (K3s) to manage and support ~1200 virtual clusters *Integrate shared storage solutions using Rook.io and manage persistent volumes across edge nodes *Implement K0smotron for multi-cluster Kubernetes control plane management *Extend Kubernetes capabilities to edge devices using KubeEdge for real-time device communication *Deploy and manage workloads on Google Cloud GKE for centralized analytics and cloud-native services *Leverage CloudCore for edge node coordination and data synchronization *Collaborate with infrastructure, application and security teams to ensure seamless integration of edge workloads