Cloud Computing Professional

17 hours ago

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

We are seeking an experienced professional to lead the design, implementation, and management of large-scale Kubernetes clusters with a strong focus on performance, security, and reliability.

About the Role:

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

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

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

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

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

- Provide expert guidance on integrating Kubernetes with OpenStack environments.

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

- Work effectively 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.
  • 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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