Muhammad U. is a DevOps Engineer with over four years of experience in building and operating cloud-native infrastructure, primarily in AWS and Google Cloud environments. His core technology stack includes Kubernetes (EKS), Docker, and Terraform, through which he designs and manages scalable, high-availability systems. Muhammad builds CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions, integrating security tools like SonarQube and Trivy. He implements observability solutions with Prometheus, Grafana, and Datadog,…
Designed and provisioned production-ready Amazon EKS infrastructure using Terraform with reusable modules, remote state management, IAM roles, VPC networking, managed node groups, and autoscaling, enabling consistent and automated Kubernetes deployments.
Implemented a complete observability stack using Prometheus, Grafana, Loki, OpenTelemetry, and Jaeger for infrastructure, applications, and databases. Configured dashboards, log aggregation, distributed tracing, alerting, and Slack/Email notifications to improve system visibility and incident response.
Built an end-to-end CI/CD pipeline for Development, Staging, and Production environments using GitHub Actions and Google Cloud Build. Integrated AI-based failure detection, automated testing, security scanning, deployment approvals, and rollback strategies to improve deployment reliability.
Reduced cloud infrastructure costs by up to 90% through networking and architecture optimization, including CDN redesign, storage optimization, caching improvements, and traffic routing enhancements while maintaining application performance and availability.
Led the migration of a monolithic application to a Kubernetes-based microservices architecture using Docker and Amazon EKS. Designed the complete platform including CI/CD with Jenkins, security scanning using Trivy, SonarQube, and OWASP Dependency-Check, GitOps deployment with ArgoCD, and end-to-end monitoring using Grafana, Prometheus, and Loki with Slack and email alerting.
Architected and deployed a highly available three-tier application on AWS using public/private subnets, Application Load Balancer (ALB), Auto Scaling Groups (ASG), NAT Gateway, AWS WAF, VPN connectivity, and secure networking following AWS best practices.
Successfully migrated enterprise applications from on-premises infrastructure to a private cloud environment using a lift-and-shift approach. Planned migration strategy, minimized downtime, validated workloads, and optimized infrastructure for improved scalability and operational efficiency.
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Muhammad U. is a DevOps Engineer with over four years of experience in building and operating cloud-native infrastructure, primarily in AWS and Google Cloud environments. His core technology stack includes Kubernetes (EKS), Docker, and Terraform, through which he designs and manages scalable, high-availability systems. Muhammad builds CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions, integrating security tools like SonarQube and Trivy. He implements observability solutions with Prometheus, Grafana, and Datadog,…
Designed and provisioned production-ready Amazon EKS infrastructure using Terraform with reusable modules, remote state management, IAM roles, VPC networking, managed node groups, and autoscaling, enabling consistent and automated Kubernetes deployments.
Implemented a complete observability stack using Prometheus, Grafana, Loki, OpenTelemetry, and Jaeger for infrastructure, applications, and databases. Configured dashboards, log aggregation, distributed tracing, alerting, and Slack/Email notifications to improve system visibility and incident response.
Built an end-to-end CI/CD pipeline for Development, Staging, and Production environments using GitHub Actions and Google Cloud Build. Integrated AI-based failure detection, automated testing, security scanning, deployment approvals, and rollback strategies to improve deployment reliability.
Reduced cloud infrastructure costs by up to 90% through networking and architecture optimization, including CDN redesign, storage optimization, caching improvements, and traffic routing enhancements while maintaining application performance and availability.
Led the migration of a monolithic application to a Kubernetes-based microservices architecture using Docker and Amazon EKS. Designed the complete platform including CI/CD with Jenkins, security scanning using Trivy, SonarQube, and OWASP Dependency-Check, GitOps deployment with ArgoCD, and end-to-end monitoring using Grafana, Prometheus, and Loki with Slack and email alerting.
Architected and deployed a highly available three-tier application on AWS using public/private subnets, Application Load Balancer (ALB), Auto Scaling Groups (ASG), NAT Gateway, AWS WAF, VPN connectivity, and secure networking following AWS best practices.
Successfully migrated enterprise applications from on-premises infrastructure to a private cloud environment using a lift-and-shift approach. Planned migration strategy, minimized downtime, validated workloads, and optimized infrastructure for improved scalability and operational efficiency.
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