DevOps Engineer
Junior DevOps Engineer with hands-on experience in building and automating CI/CD pipelines, containerizing applications, and deploying scalable systems on cloud environments. Strong background in Python backend development and automation, with proven ability to optimize workflows and improve system efficiency. Passionate about DevOps best practices, infrastructure automation, and cloud-native technologies.
Expertise in designing and implementing robust CI/CD pipelines, automating software delivery, and optimizing development workflows for efficiency and reliability.
Proficient in deploying and managing scalable cloud infrastructure on AWS, utilizing Infrastructure as Code tools like Terraform and Ansible for consistent and automated provisioning.
Skilled in containerizing applications using Docker and orchestrating complex systems with Kubernetes, Helm, and Argo CD to ensure scalability and high availability.
Experienced in developing AI-powered automation workflows, Python backend development, and Bash scripting to streamline business operations and improve system efficiency.
Designed and implemented a scalable microservices architecture using Docker and Docker Compose. Automated the deployment lifecycle with CI/CD pipelines (GitHub Actions) and configured Nginx as an API Gateway for service management. Managed persistent storage using a polyglot database approach.
Impact: Ensured environment parity, reduced manual deployment time, and provided data isolation and high availability across the cluster.
Engineered a complete container delivery workflow for a static web application served by Nginx. Developed a robust Shell script to automate the build, version tagging, Docker Hub authentication, and publishing of the container image to a public registry. Implemented a Kubernetes Deployment YAML for application orchestration.
Impact: Demonstrated proficiency in containerization and cluster management, ensuring reliable and reproducible deployments.
A containerized web application designed for tracking and managing team member availability. Engineered and managed a Jenkins pipeline to automate the entire software delivery lifecycle, including code checkout, image build, container stoppage, and deployment restart. Developed production-ready Dockerfile and docker-compose.yml configurations.
Impact: Significantly reduced manual deployment time and ensured consistent local development, testing, and deployment environments.
Graduated with a B.Sc. in Computer Science from Capital (Helwan) University, Cairo, Egypt.
Began role as DevOps & AI Automation Developer at Scalvo.io, focusing on streamlining business operations.
Designed and implemented AI-powered automation workflows using n8n, make, and third-party APIs.
Automated media buyer workflows using n8n, resulting in a 90% faster job completion time.
Reduced manual time spent on ad creation and tracking by 95%, significantly increasing operational efficiency.
Completed a comprehensive DevOps track at DEPI, covering CI/CD, Docker & Kubernetes, IaC, and Monitoring.