Senior Embedded Engineer with Kubernetes for Edge
technologies-expected :
- Python
- Golang
- Linux
- KubeEdge
- Kubernetes
about-project :
- 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.
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
- 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-expected :
- 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
offered :
- More free time to enjoy throughout the year: longer holidays than standard, 5 free days/year for professional training, paid study holidays, flexible working schedule and so much more
- Private medical subscription for you and family members
- Customized training and professional certifications programs to achieve your learning and career goals
- Free and unlimited access to Udemy online learning platform, to learn all and everything from programming and cloud computing to home gardening 101
- Mobile device and mobile subscription plan
- Cool and comfy office located right in the heart of the city
- Lunch & Learn sessions
- (Inter)company sports competitions
- Team buildings and parties
benefits :
- sharing the costs of sports activities
- private medical care
- remote work opportunities
- flexible working time
- integration events
- mobile phone available for private use
- no dress code
- video games at work
- coffee / tea
- parking space for employees
- leisure zone
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