Cloud & Kubernetes Engineer with 6 years of experience managing enterprise container platforms across AWS and Google Cloud. Experienced in Kubernetes administration, Docker, Helm, GitOps, Terraform, Jenkins, Argo CD, monitoring, logging, and production support. Skilled in improving platform reliability, automating deployments, and optimizing cluster performance.
Expertise & skills
Containers
KubernetesDockerHelmKustomize
Cloud
AWS EKSGoogle Kubernetes Engine (GKE)
Infrastructure as Code
Terraform
CI/CD
JenkinsArgo CDGitHub Actions
Monitoring
PrometheusGrafana
Logging
Fluent BitElasticsearchKibana
Networking
NGINX IngressIstioCalico
Scripting
BashPython
Operating Systems
UbuntuRocky Linux
Version Control
GitGitHub
Selected projects
Multi-Cluster Kubernetes Platform
- Built and administered Kubernetes clusters across AWS EKS and GKE.
- Created standardized Helm charts for application deployments.
- Implemented cluster autoscaling and node groups.
GitOps Delivery Pipeline
- Implemented Argo CD for automated GitOps deployments.
- Integrated CI pipelines with Jenkins and GitHub Actions.
- Reduced release failures through deployment validation.
Monitoring & Logging
- Developed Grafana dashboards for application health.
- Configured Prometheus alerts for production services.
- Centralized application logs using Fluent Bit and ELK.
Kubernetes Security
- Configured RBAC, Secrets management, and Network Policies.
- Integrated container image security scanning.
- Performed regular cluster patching and upgrades.
Production Reliability
- Resolved critical production incidents.
- Optimized resource requests and limits.
- Prepared operational documentation and disaster recovery procedures.
Certifications
- Certified Kubernetes Administrator (CKA)
- Google Associate Cloud Engineer
- HashiCorp Certified: Terraform Associate
Education
Bachelor of Technology (Information Technology)
APJ Abdul Kalam Technological University
Achievements
- Managed Kubernetes environments supporting more than 220 microservices.
- Reduced deployment time by 65% through GitOps automation.
- Improved production uptime to 99.95%.
- Optimized infrastructure costs through workload right-sizing.
- Enhanced observability with proactive monitoring and alerting.
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