Expedite Technology Solutions LLC
US_West | Cyber Security Engineer _L2
Expedite Technology Solutions LLC, Bloomfield, New Jersey, us, 07003
Overview
Job title: Cloud/Edge Engineer Location: Client Specific Dallas, TX (Onsite) Role: Lead the design, deployment, and management of cloud-connected edge systems across the restaurant network. Focus on integrating IoT devices, optimizing edge computing infrastructure, and ensuring seamless data flow between edge nodes and cloud platforms to enhance operational efficiency and guest experience. Responsibilities
Architect and design hybrid cloud-edge architecture that supports 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 Cloud Core for edge node coordination and data synchronization Collaborate with infrastructure, application and security teams to ensure seamless integration of edge workloads Strong experience with Kubernetes (K3s, GKE), Docker, and container orchestration CloudCore & EdgeCore: Coordination between cloud and edge environments Experience with API-first development and automation scripting (e.g., Golang, Python) Experience with K0smotron, Rook.io, Kube Edge, CloudCore, and OpenID/OAuth frameworks Shared Storage Systems: Rook.io, hardware storage integration Experience with observability tools (Prometheus, FluentBit, Grafana) 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 Qualifications
Hands-on experience with Kubernetes (K3s, GKE) and Docker Proficiency in edge computing, cloud-native architectures, and distributed systems Experience with IoT integration, data synchronization, and real-time device communication Strong scripting and automation skills (e.g., Golang, Python) Knowledge of identity and access management (OAuth, OpenID) EEO Statement:
Expedite Technology Solutions LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. #J-18808-Ljbffr
Job title: Cloud/Edge Engineer Location: Client Specific Dallas, TX (Onsite) Role: Lead the design, deployment, and management of cloud-connected edge systems across the restaurant network. Focus on integrating IoT devices, optimizing edge computing infrastructure, and ensuring seamless data flow between edge nodes and cloud platforms to enhance operational efficiency and guest experience. Responsibilities
Architect and design hybrid cloud-edge architecture that supports 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 Cloud Core for edge node coordination and data synchronization Collaborate with infrastructure, application and security teams to ensure seamless integration of edge workloads Strong experience with Kubernetes (K3s, GKE), Docker, and container orchestration CloudCore & EdgeCore: Coordination between cloud and edge environments Experience with API-first development and automation scripting (e.g., Golang, Python) Experience with K0smotron, Rook.io, Kube Edge, CloudCore, and OpenID/OAuth frameworks Shared Storage Systems: Rook.io, hardware storage integration Experience with observability tools (Prometheus, FluentBit, Grafana) 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 Qualifications
Hands-on experience with Kubernetes (K3s, GKE) and Docker Proficiency in edge computing, cloud-native architectures, and distributed systems Experience with IoT integration, data synchronization, and real-time device communication Strong scripting and automation skills (e.g., Golang, Python) Knowledge of identity and access management (OAuth, OpenID) EEO Statement:
Expedite Technology Solutions LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. #J-18808-Ljbffr