Expert in Large Scale Cluster Management

2 weeks ago

Chennai, Tamil Nadu, India beBeeKubernetes Full time ₹ 20,00,000 - ₹ 25,00,000

We are seeking an experienced Kubernetes Expert who will be responsible for designing, implementing, and managing large-scale Kubernetes clusters with a strong focus on performance, security, and reliability.

Key Responsibilities :

- Design, deploy, and manage highly available Kubernetes clusters across multi-cloud and on-prem environments.

- Implement security best practices, role-based access control (RBAC), and compliance policies.

- Ensure smooth scaling, monitoring, and troubleshooting of clusters to meet enterprise-grade requirements.

- Integrate GPU support within Kubernetes clusters to optimize performance for AI/ML workloads.

- Collaborate with data science and engineering teams to ensure seamless execution of GPU-intensive applications.

- Develop and implement metering and monitoring solutions to track cloud resource consumption.

- Optimize resource allocation and provide insights for cost optimization and efficiency.

- Provide expertise on integrating Kubernetes with OpenStack environments.

- Manage and optimize hybrid cloud deployments leveraging both Kubernetes and OpenStack.

- Work closely with DevOps, Cloud, and Infrastructure teams to implement best practices.

- Prepare detailed documentation, runbooks, and guidelines for cluster operations.

Required Expertise & Skills :

- Proven experience in designing, deploying, and managing Kubernetes clusters at scale.

- Hands-on experience in enabling GPU support in Kubernetes for AI/ML workloads.

- Strong knowledge of containerization technologies (Docker, CRI-O, containerd, etc.).

- Experience with monitoring and metering solutions (Prometheus, Grafana, custom tooling, etc.) for cloud resource utilization.

- Understanding of networking concepts within Kubernetes (CNI plugins, ingress, service mesh, etc.).

- Good knowledge of OpenStack services and experience with Kubernetes-OpenStack integration (preferred).

- Strong problem-solving, debugging, and performance-tuning skills.

- Familiarity with CI/CD pipelines and automation tools (Helm, Ansible, Terraform, ArgoCD, etc.).

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