Extreme Networks
Advance with us.
Switching • Wireless • Security • Cloud Management • Network Management
1001 - 5000
Principal Software Engineer – Team Lead (Edge compute -Containerization) 9290
June 5
🔄 Hybrid – Toronto
Extreme Networks
Advance with us.
Switching • Wireless • Security • Cloud Management • Network Management
1001 - 5000
Description
• Lead and inspire a team of engineers, providing guidance, setting goals, and ensuring collaboration. • Oversee project planning, execution, and delivery, ensuring alignment with business objectives. • Manage all phases of technical projects, from conception to completion. • Develop project specifications, track progress, and control costs. • Foster a positive work environment, encouraging professional growth and knowledge sharing.
Requirements
• Bachelor’s degree in computer science, Engineering, or a related field. • Expert programming skills in Python and Golang • 5+ years of experience with cloud-native technologies and architectures. • Strong knowledge of Linux environment and embedded system based on Linux • Expert Knowledge of edge computing frameworks and platforms k8s, k3s, and KubeEdge. • Proficiency in deploying and managing Kubernetes clusters in edge computing environments. • Strong understanding of orchestration principles, high availability (HA), scalability, and best practices. • Experience implementing security solutions for edge computing infrastructure. • Familiarity with networking concepts and protocols, particularly in edge computing scenarios. • Experience with edge device management and integration. • Certification in Kubernetes or relevant cloud technologies.
Benefits
• Influence the Edge compute strategy by providing expert advice on design and architecture. • Make critical decisions regarding technical directions, scalability, and system performance. • Collaborate with cross-functional teams to create innovative solutions. • Design, deploy, and maintain cloud-native solutions for edge computing environments. • Implement and manage distributed Kubernetes clusters on the edge to support various applications and workloads. • Develop and optimize orchestration mechanisms to ensure efficient resource utilization, high availability, and scalability. • Implement robust security measures to protect edge computing infrastructure and data. • Optimize network configurations to ensure low-latency communication and high availability. • Implement data protection mechanisms to safeguard critical data processed at the edge.
Apply Now
