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
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Engineer • Dallas, TX, United States
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