DevOps Engineer with 4 years of experience designing and managing production-grade cloud platforms for global enterprise clients including Woolworths, Nike, and Kone. I specialize in Kubernetes (EKS), Terraform, Helm, GitOps (ArgoCD), CI/CD automation, and full-stack observability to deliver scalable, resilient, and automated systems.
Cloud & Infrastructure: AWS (EKS, EC2, S3, VPC, ALB), Multi-AZ Deployment, Auto Scaling Containerization & Orchestration: Kubernetes, Docker, Helm, ArgoCD (GitOps) CI/CD & Automation: GitHub Actions, Jenkins, Terraform, Infrastructure as Code (IaC) Monitoring & Observability: Prometheus, Grafana, ELK Stack Event-Driven Workflows: Argo Workflows, Argo Events Programming & Scripting: Python, Bash Agile & DevOps Practices: Scrum Master, Agile Delivery, Release Management
| Category | Tools & Technologies |
|---|---|
| Orchestration | Kubernetes (EKS, GKE), Docker, Argo Workflows |
| Infrastructure (IaC) | Terraform, AWS CloudFormation, Ansible |
| CI/CD & GitOps | ArgoCD, GitHub Actions, Jenkins |
| Cloud Platforms | Amazon Web Services (AWS), Google Cloud Platform (GCP) |
| Monitoring | Prometheus, Grafana, ELK Stack |
| Languages | Python (FastAPI, Flask, Pydantic), Bash Scripting, YAML |
Implemented a self-healing ML pipeline using ArgoCD and Argo Workflows to automate retraining upon data changes.
Architected a production-ready MLOps platform for model versioning and scaling using MLflow and EKS.
Built a high-performance serving layer using FastAPI and Docker, optimizing for low-latency inference.
- 🏗️ maintained multi-cloud ML infrastructure for 1000+ global retail locations.
- ⚙️ Automated production-grade pipelines reducing manual intervention by 90%.
- 🚀 Optimized model inference latency by 30% through advanced containerization.
- LinkedIn: alaison-benny-online
- Email: alaisonebnnyonline@gmail.com
"Turning complex models into scalable production-grade services."