Apolis
Cloud/Edge Engineer GKE
Location: Dallas, TX Onsite
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"