Kubernetes Consultant

Description:

OpenShift/Kubernetes Design & Architecture

·       Extensive experience designing and architecting OpenShift and Kubernetes platforms to support

scalable, secure, and highly available enterprise applications.

·       Proficient in designing cluster architectures, including multi-cluster and hybrid-cloud deployments

using OpenShift and Kubernetes across AWS and on-premises infrastructure.

OpenShift/Kubernetes Management

·       Hands-on experience managing OpenShift and Kubernetes environments, including installation,

upgrades, patching, and day-to-day operations.

·       Strong expertise in troubleshooting networking issues, container runtime problems, cluster

performance, and resource bottlenecks.

DevOps & Automation

·       Strong background in implementing DevOps best practices for Kubernetes environments, including

CI/CD pipelines using Tekton, Argo CD, Jenkins, and GitLab CI.

·       Experienced in GitOps methodologies for automating application deployments and infrastructure

management.

·       Proficient in Helm and Kustomize for application packaging and deployment.

·       Skilled in developing automation using Ansible and Bash, and leveraging Kubernetes Operators to

manage complex workloads.

Cloud Infrastructure & Operations

·       Deep knowledge of cloud-native infrastructure, including multi-cloud and hybrid-cloud Kubernetes

deployments across AWS, Azure, and on-premises environments.

·       Expertise in designing highly available, scalable, and secure Kubernetes architectures using

Infrastructure as Code (IaC) tools such as Terraform and Ansible.

Monitoring & Performance Optimization

·       Extensive experience implementing observability solutions using Prometheus, Grafana, and Loki for

real-time monitoring, alerting, and troubleshooting.

·       Proficient in centralized log aggregation and analysis using the ELK Stack and Splunk.

·       Experienced in performance tuning and capacity optimization of OpenShift and Kubernetes

environments to maximize reliability, scalability, and cost efficiency.