Soukaina Ezzamita

* Design, build, and maintain scalable cloud infrastructure on GCP to support high-traffic backend systems. * Own and optimize CI/CD pipelines (GitHub Actions, ARGO CD ) to improve deployment speed, reliability, and automation. * Deploy and operate microservices architectures on Kubernetes (GKE), ensuring high availability and efficient resource usage. * Implement Infrastructure as Code with Terraform to automate provisioning, configuration, and environment consistency across projects. * Set up and maintain monitoring and alerting with Prometheus and Grafana, improving system visibility and reducing incident resolution time.

Managed AWS environments to optimize performance and reliability. Automated CI/CD pipelines using Git Actions. Deployed and maintained scalable microservices architectures using ECS. Implemented monitoring solutions using Datadog for enhanced operational visibility.

Led backend development using Python and Django, building and maintaining RESTful APIs and core business logic. Containerized applications with Docker and deployed services on Kubernetes and AWS to support scalable, reliable operations. Integrated and orchestrated microservices, improving system modularity and backend performance.

Developed and deployed backend systems for a direct-to-consumer clear aligner startup, eliminating the need for in-office orthodontic visits. Built scalable, high-performance APIs and services using Python and Django to support patient onboarding, treatment flows, and operations. Managed AWS cloud infrastructure and implemented Infrastructure as Code with Terraform to standardize environments and reduce manual ops. Designed and maintained CI/CD pipelines, enabling smooth, reliable, and automated deployments across environments.

Collaborated with cross-functional teams (product, frontend, QA) to design, develop, and deploy backend systems for web applications. Architected and implemented backend services and RESTful APIs using Python and Django, ensuring clean, maintainable, and scalable code. Led application deployment to production servers, monitoring performance and availability to ensure reliable, high-uptime user experiences.