Job Description
We are seeking an experienced Kubernetes Engineer to architect, manage, and optimize on-premise, bare-metal Kubernetes infrastructure for AI, HPC, and high-performance networking. The role involves developing Kubernetes-based solutions, troubleshooting, enhancing security, and collaborating with stakeholders to design distributed systems that meet customer requirements.
Responsibilities
- Install, configure, and maintain Kubernetes clusters.
- Develop, improve, and optimize Kubernetes-based solutions and infrastructure.
- Architect systems for AI, HPC, and high-performance networking (e.g., InfiniBand).
- Configure and secure Kubernetes clusters to prevent unauthorized access.
- Design and document system architecture; perform software build-outs.
- Troubleshoot Kubernetes issues and collaborate with engineers.
- Work closely with customers to understand requirements and deliver solutions.
- Contribute to upstream Kubernetes by fixing bugs and improving functionality.
- Configure networking services and implement security measures.
- Stay updated on trends in Kubernetes, AI, HPC, and distributed systems.
Qualifications
- Master or Bachelor’s degree in Computer Science, Engineering, or related field.
- Proven senior experience with Kubernetes (bare metal), Docker, and Linux OS.
- Expertise in Kubernetes for AI, HPC, and high-performance networking and frameworks.
- Strong knowledge of CI/CD pipelines, monitoring tools (e.g., Grafana, Prometheus), and cloud platforms.
- Experience with designing distributed systems and securing Kubernetes infrastructure.
- Familiarity with DevOps principles and network protocols.
- Excellent communication and teamwork abilities, enabling effective collaboration across diverse team
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Benefits
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