Vijayaragavan S

Cloud & DevOps Engineer focused on designing well-architected, reliable, and automated infrastructure across AWS, Azure, and GCP. I build cloud systems that are scalable, cost-efficient, and engineered for production — not just deployed. With my 3 years of hands-on experience, I specialize in infrastructure design, Kubernetes-based workloads, and CI/CD automation that enables consistent and repeatable delivery. My work combines strong engineering fundamentals with practical business thinking — improving reliability, accelerating deployments, and optimizing cloud spend without compromising stability. What I Do: • Design and implement end-to-end cloud infrastructure across AWS, GCP, and Azure, with a strong focus on Infrastructure as Code and Kubernetes-based architectures • Build automated CI/CD pipelines using GitHub Actions, GitLab CI, Azure DevOps, and CircleCI to enable rapid and safe deployments • Implement observability practices using Prometheus, Grafana, and CloudWatch to improve visibility, detect failures early, and support production stability • Collaborate closely with application and security teams to ensure infrastructure is secure, maintainable, and aligned with architectural best practices Recent Work & Impact: • Built and automated deployment pipelines for an AI-driven application on GCP, enabling fully automated solution-based application delivery using Kubernetes and CircleCI • Optimized infrastructure costs by leveraging Spot Instances and intelligent workload scaling, achieving 70–80% cost savings through Kubernetes autoscaling and Karpenter-based pod management • Strengthened deployment reliability and reduced manual operational effort through improved automation and infrastructure standardization • Contributed to production-grade systems requiring high availability and consistent performance Technical Expertise: Cloud