Cloud DevOps Engineer with 3.7 + years of experience in designing, deploying, and managing cloud-native infrastructure using AWS and GCP. Proficient in containerization with Docker, orchestration with Kubernetes, and imp…
Cloud DevOps Engineer with 3.7 + years of experience in designing, deploying, and managing cloud-native infrastructure using AWS and GCP. Proficient in containerization with Docker, orchestration with Kubernetes, and implementing end-to-end CI/CD pipelines to streamline application delivery. Skilled in infrastructure as code, automation, and monitoring to ensure high availability, security, and scalability of cloud environments. Passionate about continuous learning and contributing to innovative, cross-functional projects that drive business value.
Designed and deployed cloud-native applications on AWS and GCP with a focus on automation, scalability, and security, aligning with dynamic business requirements.
Managed microservices using Docker and Kubernetes (GKE, Amazon ECS), enabling scalable, resilient, and easy-to-maintain deployments in production environments.
Automated infrastructure provisioning with Terraform and AWS CloudFormation, significantly reducing manual efforts and accelerating deployment cycles.
Implemented secure and efficient CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeCommit, as well as Azure Pipelines, enhancing release velocity and reliability.
Enhanced system security and compliance by configuring AWS IAM, Secrets Manager, WAF, and private subnets to ensure secure handling of sensitive data.
Built real-time data workflows and monitoring solutions using GCP Cloud Functions, Pub/Sub, Prometheus, and Grafana, ensuring system observability and quick incident response.
- Designed and deployed cloud-native applications on AWS and GCP with a focus on automation, scalability, and security, aligning with dynamic business requirements. - Managed microservices using Docker and Kubernetes (GKE, Amazon ECS), enabling scalable, resilient, and easy-to-maintain deployments in production environments. - Automated infrastructure provisioning with Terraform and AWS CloudFormation, significantly reducing manual efforts and accelerating deployment cycles. - Implemented secure and efficient CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeCommit, as well as Azure Pipelines, enhancing release velocity and reliability. - Enhanced system security and compliance by configuring AWS IAM, Secrets Manager, WAF, and private subnets to ensure secure handling of sensitive data. - Built real-time data workflows and monitoring solutions using GCP Cloud Functions, Pub/Sub, Prometheus, and Grafana, ensuring system observability and quick incident response.
Deployed Angular, Node.js, and Spring Boot microservices on Amazon ECS Fargate, ensuring high availability and scalability.
Configured secure traffic flow using API Gateway (with VPC Link), internal/external ALBs, and AWS WAF.
Implemented centralized logging and monitoring with Amazon CloudWatch to enhance observability.
Collaborated with teams to adopt DevOps best practices and Infrastructure as Code (IaC).
Built automated CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeCommit for reliable deployments.
Migrated IBM system to Google Cloud using Cloud Run, GKE, and KubeEdge for scalable microservices with edge computing.
Automated file processing with Cloud Functions and Cloud Storage to route ZIP file contents to vendor endpoints.
Developed event-driven workflows using Pub/Sub and stored order data in BigQuery for real-time analytics.
Configured monitoring and alerts using Prometheus and Grafana to improve system reliability.
Provided L1/L2 support for cloud applications and infrastructure, managing tickets via ServiceNow to meet SLAs and ensure timely resolution.
Acted as the first point of contact for clients, troubleshooting and resolving cloud infrastructure and application issues to minimize disruptions.
Collaborated with cross-functional teams to escalate and resolve complex technical issues, ensuring smooth business operations.
Performed health checks, maintained documentation, and conducted root cause analysis for continuous improvement.
Supported cloud operations such as service restarts, monitoring, and deployments, ensuring accurate ticket categorization for incident tracking.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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