Senior Embedded Engineer with Kubernetes for Edge

Key Responsibilities:

We are seeking a highly skilled Edge Compute Engineer with strong leadership, communication, and collaboration abilities to join our dynamic team. The ideal candidate will have expertise in cloud-native technologies, with a focus on distributed Kubernetes on the edge.

As a Principal Engineer specializing in edge compute, you’ll play a pivotal role in shaping the future of distributed systems and real-time data processing. You will play a pivotal role in the orchestration, security, networking, high availability (HA), scalability, and data protection aspects of our edge computing infrastructure.
The successful candidate will combine technical excellence with effective leadership, creating a positive impact on both projects and team dynamics.

High-Level Design and Architecture

• 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.

If you are passionate about edge computing and eager to work on cutting- edge technologies in a collaborative environment, we encourage you to apply. Join us in shaping the future of edge computing and revolutionizing how data is processed and managed at the edge. Apply now to be part of our innovative team!