Omar – Python, Terraform, AWS

It's a production-grade SaaS platform that processes critical workloads in a 24/7 environment and relies on cloud-native infrastructure to support frequent releases, automated deployments, and rapid scaling.

• Designed and managed high-availability cloud infrastructure, achieving 99.9%+ uptime.
• Provisioned and maintained multiple Kubernetes (EKS) clusters using Terraform and Helm.
• Built GitOps-based deployment pipelines with Flux and ArgoCD for secure, auditable releases.
• Implemented comprehensive monitoring, logging, and alerting with Prometheus, Grafana, Datadog, and ELK.
• Participated in on-call rotations and incident response, reducing mean time to recovery (MTTR).
• Automated infrastructure provisioning and CI/CD workflows to enable continuous delivery.
• Developed internal tooling to enhance platform reliability and developer experience.

It's a platform designed to support training, testing, and deployment of ML models in production. It enables data scientists and engineers to move from experimentation to production by providing automated CI/CD pipelines, containerized workloads, and scalable infrastructure.

• Built CI/CD pipelines for machine learning and big data workloads.
• Containerized ML services and deployed them on Kubernetes.
• Implemented monitoring and logging for ML pipelines and production services.
• Improved deployment reliability and reduced manual operational overhead.
• Collaborated with data scientists to support and scale production ML workflows.

Modernization of cloud infrastructure for enterprise and SaaS environments, focusing on Infrastructure as Code, security, and cost efficiency. The project involved migrating legacy setups to cloud-native platforms, standardizing deployments, and improving operational governance.

• Provisioned and managed AWS infrastructure using Terraform.
• Migrated workloads from virtual machines to Kubernetes, enhancing scalability.
• Strengthened cloud security and improved IAM governance.
• Optimized infrastructure usage through automation and standardization.
• Supported multiple teams by developing reusable CI/CD patterns.

Design and delivery of a secure and scalable AWS cloud architecture for an enterprise platform. The project focused on cloud migration, automation, and data platform integration to support analytics and reporting use cases.

• Designed AWS architecture for a production-grade enterprise platform.
• Delivered Infrastructure as Code and implemented CI/CD pipelines.
• Supported cloud migration projects to AWS.
• Integrated data and analytics services within the cloud environment.