$DevOps & Cloud Engineer — GCP · Azure · Kubernetes · Terraform
3+ years designing, automating, and operating secure, scalable cloud infrastructure. CKA certified & Google Cloud Certified Professional Cloud Architect & Security Engineer. Specialist in K8s, Docker, Linux, IaC, CI/CD pipelines, and observability
Production-ready GKE cluster for a 15-service microservices app (Go, Java, Python, C++) with distributed tracing, WAF, managed TLS, and load-tested Redis caching.
Zero-Trust private AI platform (n8n + Ollama) with no public IPs. Identity-based access via IAP, private VPC networking, hardened CI/CD pipeline, and 99.9% availability.
Production-grade Istio service mesh on GKE to secure and observe microservice traffic. Implemented automatic HTTPS via cert-manager, enforced mutual TLS (mTLS) for all service-to-service communication using PeerAuthentication policies, and wired up a full observability stack with Prometheus, Grafana, Kiali, and Jaeger for real-time traffic visibility and distributed tracing.
Focused on building and deploying scalable cloud applications on AWS. Covered RESTful API design, SQL data modeling, authentication & authorization (RBAC with Auth0 and Flask), CI/CD pipeline design, and containerization with Docker. Capstone project: containerized Flask microservices deployed to AWS EKS using Kubernetes and GitHub Actions.
Hands-on cloud development on Microsoft Azure covering microservices architecture, cloud migration strategies, event-driven workflows, and performance monitoring. Built production microservices using Azure Cosmos DB, Azure App Service, and Azure Pipelines. Explored serverless computing, Azure Functions, and container orchestration strategies in a cloud-native context.
Structured 100-day hands-on challenge covering the full DevOps toolchain — Linux, Git, Docker, Kubernetes, Terraform, Ansible, CI/CD, monitoring, and cloud platforms. Daily practical labs with real-world scenarios reinforcing skills through consistent, progressive practice across the entire DevOps lifecycle.
Completed 682 labs and 910 lessons of practical, hands-on Google Cloud training via the Google Cloud Skills Boost platform. Covers GKE, Cloud Run, Terraform on GCP, security, observability, networking, data engineering, and advanced cloud architecture patterns — all verified through interactive, real-environment labs.