Sivakumar K

Provisioned and maintained hybrid Kubernetes platform across multiple regions.

Designed and managed EKS and RKE2 Kubernetes clusters.

Developed an end-to-end MLOps workflow using Kubeflow/mlflow based pipelines for training and serving ML models.

Implemented HAProxy load balancer setup using Terraform, incorporating log rotation and blue/green deployments.

Utilized various tools including Istio, External Secrets Operator, Prometheus, and Grafana to enhance platform efficiency.

Managed CI pipelines with GitHub Actions and Concourse; deployed applications using FluxCD and ArgoCD.

Led platform engineering team, providing mentorship and conducting technical talks.

Multiple lab projects on kubeSecureCheck, ML-based predictive scaling, k8sGPT dashboard, etc.

Created educational content for DevOps community on YouTube.

• Executed DevOps migration and infrastructure optimization for large-scale Azure projects.
• Automated infrastructure deployment using Terraform, Azure Bicep, and ARM templates.
• Designed and implemented build/deploy pipelines with a focus on code quality and security.
• Configured CI/CD processes for microservices projects utilizing Azure DevOps and Azure Kubernetes Service (AKS).
• Implemented cost monitoring and optimization strategies with KubeCost in Kubernetes environments.
• Established observability frameworks using Prometheus and Grafana for performance metrics.
• Integrated logging solutions with the EFK stack to enhance troubleshooting capabilities.

• Executed infrastructure automation through Azure DevOps, Terraform, and ARM templates.
• Administered Azure environments while automating processes with PowerShell, Bash, and Python scripting.

• Established and maintained CI/CD processes for applications in cloud and on-premises environments.
• Provided process support to developers and release engineers to enhance productivity.

• Automated Azure infrastructure deployment using Jenkins and ARM templates.
• Executed multiple Python scripts for Azure governance enhancements.

• Automated AWS infrastructure through Python Boto3 scripts and AWS CLI commands.
• Created robust AWS setup using Cloud Formation templates to enhance system reliability.

• WebLogic Administrator and DevOps tool assistance