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Senior Embedded Engineer w Kubernetes for Edge
5 dni temu
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
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