Senior Kubernetes Engineer with 6 years of experience designing, automating, and supporting cloud-native platforms for large-scale enterprise applications. Strong expertise in Kubernetes, Docker, Helm, Rancher, VMware Tanzu, AWS, CI/CD automation, Infrastructure as Code, observability, and production operations.
Expertise & skills
Containers
KubernetesDockerHelmRancherVMware Tanzu
Cloud Platforms
AWS (EKSEC2IAMVPC)VMware
Infrastructure as Code
TerraformAnsible
CI/CD
JenkinsGitLab CIArgo CD
Monitoring
PrometheusGrafanaAlertmanager
Logging
Fluent BitELK Stack
Networking
NGINX IngressIstioCalico
Scripting
BashPython
Operating Systems
UbuntuRHELAmazon Linux
Version Control
GitGitLab
Selected projects
Enterprise Kubernetes Transformation
- Containerized legacy Java and .NET applications using Docker and Kubernetes.
- Developed reusable Helm charts for multiple application teams.
- Automated infrastructure provisioning using Terraform.
Platform Automation
- Built GitLab CI pipelines for automated deployments.
- Implemented GitOps workflows using Argo CD.
- Reduced manual deployment effort through automation.
Observability & Performance
- Configured Prometheus metrics collection and Grafana dashboards.
- Implemented centralized logging using Fluent Bit and Elasticsearch.
- Optimized cluster resource utilization and application performance.
Security & Compliance
- Implemented RBAC, Pod Security Standards, and Network Policies.
- Integrated image vulnerability scanning into CI/CD pipelines.
- Performed periodic Kubernetes cluster upgrades.
Production Support
- Provided 24x7 production support for mission-critical applications.
- Performed disaster recovery testing and capacity planning.
- Created operational documentation and troubleshooting guides.
Certifications
- Certified Kubernetes Administrator (CKA)
- Certified Kubernetes Security Specialist (CKS)
- AWS Certified Solutions Architect – Associate
Education
Bachelor of Engineering (Computer Engineering)
Punjab Technical University
Achievements
- Managed Kubernetes environments running more than 250 microservices.
- Reduced deployment time by 70% through GitOps implementation.
- Improved production availability to 99.98%.
- Reduced infrastructure costs by optimizing cluster autoscaling.
- Implemented enterprise-grade Kubernetes security and compliance controls.
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