Cloud Native Edge Computing Leader

4 days ago

Toronto, Canada Extreme Networks Full time

Edge Computing Expertise

We are seeking an experienced Senior Software Engineer with expertise in cloud-native technologies, specializing in distributed Kubernetes on the edge. As a key member of our team, you will play a pivotal role in shaping the future of edge systems and real-time data processing.

Key Responsibilities:

  • Influence the Edge compute strategy by providing expert advice on design and architecture.
  • Making critical decisions regarding technical directions, scalability, and system performance.
  • Collaborating with cross-functional teams to create innovative solutions.
  • Designing, deploying, and maintaining cloud-native solutions for edge computing environments.
  • Implementing and managing distributed Kubernetes clusters on the edge to support various applications and workloads.
  • Developing and optimizing orchestration mechanisms to ensure efficient resource utilization, high availability, and scalability.
  • Implementing robust security measures to protect edge computing infrastructure and data.
  • Optimizing network configurations to ensure low-latency communication and high availability.
  • Implementing data protection mechanisms to safeguard critical data processed at the edge.

Team Leadership:

  • Leading and inspiring a team of engineers, providing guidance, setting goals, and ensuring collaboration.
  • Overseeing project planning, execution, and delivery, ensuring alignment with business objectives.
  • Managing all phases of technical projects, from conception to completion.
  • Developing project specifications, tracking progress, and controlling costs.
  • Fostering 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.
  • 5-15 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.

About the Role

The estimated salary for this position is $140,000-$200,000 per year, depending on experience and qualifications. This figure is based on industry standards and the required skills for this role.

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