Kto szuka:
HAYS
Stanowisko:
Senior Embedded Engineer with Kubernetes for Edge
Lokalizacja:
Polska
mazowieckie
Opis stanowiska podany przez pracodawcę:
Senior Embedded Engineer with Kubernetes for Edge
Polska
NR REF.: 1187365
Responsibilities:
- Formulate the strategy for edge computing, providing expert advice on design and architecture.
- Take crucial decisions regarding technical directions, system scalability, and performance.
- Collaborate with cross-functional teams to create innovative solutions.
- Design, implement, and manage cloud-native solutions for edge computing environments.
- Establish and manage distributed Kubernetes clusters at the edge to support various applications and workloads.
- Develop and fine-tune orchestration mechanisms to ensure efficient resource utilization, high availability, and scalability.
- Put in place strong security measures to safeguard edge computing infrastructure and data.
- Optimize network configurations to ensure low-latency communication and high availability.
- Implement data protection mechanisms to secure critical data processed at the edge.
Leadership:
- Guide and motivate a team of engineers, provide direction, set objectives, and promote teamwork.
- Supervise project planning, execution, and delivery, ensuring alignment with business goals.
- Manage all stages of technical projects, from inception to completion.
- Develop project specifications, monitor progress, and control costs.
- Promote a positive work environment, encouraging professional development and knowledge sharing
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Expertise in Python and Golang programming.
- 5+ years of experience with cloud-native technologies and architecture.
- In-depth knowledge of Linux environments and Linux-based embedded systems.
- Expert understanding of edge computing frameworks and platforms like k8s, k3s, and KubeEdge.
- Proficiency in deploying and managing Kubernetes clusters in edge computing environments.
- Strong grasp of orchestration principles, high availability (HA), scalability, and best practices.
- Experience in 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.
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