R Systems is seeking a highly skilled DevOps Engineer with strong 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 DevOps Engineer specializing in Edge computing, you’ll play a pivotal role in shaping the future of distributed systems and real-time data processing. Your contribution will be essential in the orchestration, security, networking, high availability (HA), scalability, and data protection aspects of our edge computing infrastructure.
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 our innovative team in shaping the future of edge computing and revolutionizing how data is processed and managed at the edge!
Your contribution:
High-Level Design and Architecture
- Influence the Edge computing strategy by providing advice on design and architecture.
- 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.
Bring along:
- Bachelor’s degree in computer science, Engineering, or a related field.
- Expert in scripting area with Shell, Python and Golang
- 5+ years of experience with cloud-native technologies and architecture.
- You should be familiar with DevOps, Agile, Continuous Integration (CI), Continuous Development (CD) methodologies for SW development
- Containerization of AI/ML models is a plus
- Strong knowledge of Linux environment and embedded systems based on Linux
- Expert Knowledge of edge computing frameworks and platforms k8s, k3s or 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.
- Experience working with CNI like Calico, Flannel and service mesh tools like Istio, Linker
- Experience with edge device management and integration.
- Certification in Kubernetes or relevant cloud technologies.
- Experience deploying and managing Multi-Region Kubernetes clusters
What's in it for you:
Apply here
Who we are as a company:
R Systems is a global technology and analytics services company. We help our clients achieve speed-to-market, overcome digital barriers, and create business value with our specialized service offerings and consultative business approach.
We speak the language of business as fluently as we do the language of technology. In other words: We speak Digital. Our goal: accelerate our clients’ digital leadership.
At R Systems EU, we embrace diversity. Inclusion is a priority for us, and we are eager to foster an environment where everyone feels valued. We welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
Some quick aspects we take pride in:
R Systems is Great Place to Work™ certified
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