Ezekiel Xavier

About Ezekiel Xavier

I build intelligent cloud platforms that combine DevOps, Kubernetes, and AI to create scalable, automated, and cost-aware infrastructure ecosystems. My work bridges infrastructure engineering and AI-driven automation, enabling organizations to shift from reactive operations to intelligent, self-optimizing platforms.

Experience

1. Lead Cloud Engineer (Lmts)

   Salesforce

   Feb 2022 — Present

   Implemented cost-optimization strategies, reducing cloud spend by 20%- Designed secure platform architecture following zero-trust and DevSecOps principles- Automated cloud governance using Cloud Custodian, IAM policies, and least-privilege access models- Built POC for AI-powered multi-agent automation platform leveraging MCP servers and Google ADKArchitected and operated production-grade Kubernetes (EKS) clusters supporting revenue-critical and AI-driven workloads-Designed reusable Terraform modules to provision EKS clusters, node groups, IAM roles, networking, and security baselines- Implemented cluster autoscaling using: Cluster Autoscaler / Karpenter HPA (Horizontal Pod Autoscaler)- Metrics-driven scaling via Prometheus & CloudWatch- Built GitOps-based deployment workflows (Helm + CI/CD pipelines) enabling automated, version-controlled application releases-Built a custom GitHub Action powered by AI agents powered by LangChain and Google Gemini to analyze Terraform plans and provide automated cost estimates and risk insights during PR reviews, shifting FinOps controls left in the CI/CD pipeline.

Education

• Georgia Institute of Technology

  Masters in Computational Data Analytics and ML

• Valparaiso University

  Master’s Degree, Information Technology and Computing

Skills

• Data Dog
• Aws Cloudwatch
• Java
• Linux
• Chef
• Red Hat Linux
• Aws Iam
• Puppet
• Cloud Formation
• Jenkins
• Python
• Node.js
• Spring Framework
• Docker
• Amazon Web Services (Aws)
• Nested Cloud Formation Templates
• Automation
• Fullstack