Edge Compute Software Engineer

1 week ago

Vaughan, Ontario, Canada Extreme Networks Full time
Job Summary

We are seeking a highly skilled Edge Compute Software Engineer with strong leadership and technical expertise to join our dynamic team at Extreme Networks. As a key member of our edge computing infrastructure team, you will play a pivotal role in shaping the future of distributed systems and real-time data processing.

Key Responsibilities
  • 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.
Team Leadership
  • 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.
Qualifications
  • 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.

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