Abdullah Sameh
DevOps Engineer
Summary
Data Science student with strong hands-on DevOps experience spanning Kubernetes orchestration, GitOps delivery, cloud infrastructure automation, and full-stack containerization. Built and deployed production-grade systems including a live federated social media platform on Kubernetes. Focused on cloud-agnostic, maintainable architectures and automation-first practices.
Technical Skills
CloudAWS (EC2, S3, IAM, VPC, EKS, CloudFront, CodeDeploy)
ObservabilityPrometheus, Grafana, Loki, Tempo, OpenTelemetry
Containers & OrchestrationDocker, Kubernetes, Helm, Kustomize
IaCTerraform, Packer
CI/CD & GitOpsGitHub Actions, ArgoCD, CodeDeploy
ScriptingBash, Python
Projects
- Deployed a live federated social media platform on Kubernetes with separate microservice deployments for web, streaming, and Sidekiq background workers.
- Self-hosted PostgreSQL using CloudNativePG with a primary + replica setup for high availability, avoiding any dependency on managed DB services.
- Abstracted the storage layer with Longhorn CSI, making the entire deployment cloud-agnostic and decoupled from any specific cloud provider's block storage.
- Cost-optimized node architecture: stateless app tier on Spot instances; stateful data services (PostgreSQL, MinIO, monitoring) on On-Demand nodes.
- Built two independent CI/CD pipelines via GitHub Actions — one for the app, one for infrastructure — both synced through ArgoCD GitOps. TLS via cert-manager, secrets via Sealed Secrets.
- Deployed a full-stack MERN app on AWS using a 3-tier architecture: CloudFront → NLB → EC2 Auto Scaling Group in a private subnet, with ElastiCache and MongoDB Atlas via PrivateLink.
- Two separate pipelines: frontend via S3 + CloudFront invalidation; backend via CodeDeploy blue/green. Infrastructure provisioned with Terraform, AMIs baked with Packer.
- Secured with OIDC keyless AWS auth, IaC scanning (TFLint, Terrascan, Checkov), and code quality gates (ESLint, Semgrep, OpenSSF Scorecard).
- Wrote a FastAPI application from scratch aggregating real-time temperature data from global IoT sensors (OpenSenseMap API); containerized and deployed locally on kind.
- Integrated Valkey caching, Prometheus metrics, and a Grafana dashboard — full local observability stack without any cloud dependency.
- Built an AI health application from scratch integrating LLM APIs; containerized with Docker Compose — first experience shipping an AI-integrated service end to end.
- Practiced multi-service orchestration, environment variable management, and team collaboration with Git branching and pull request workflows.
Education
Bachelor’s in Data Science, Faculty of Artificial Intelligence
Minoufia University — Egypt · GPA: 3.01
Expected 2028