
DevOps Engineer with over 10 years of experience in technology, specializing in CI/CD automation, DevSecOps, and cloud-native infrastructure on AWS and Azure. I design systems that are resilient, observable, and secure by default, using Kubernetes, OpenShift, Terraform, Ansible, Docker, and Helm as part of my daily toolkit.
I've led teams and end-to-end initiatives across government and enterprise environments, from building complete delivery pipelines where none existed to hardening container images with Trivy and SonarQube, to implementing full observability stacks with Prometheus, Grafana, Loki, and distributed tracing that reduce incident response times from hours to minutes. Pipelines run through GitHub Actions, GitLab CI, Jenkins, and ArgoCD.
I've contributed to large-scale projects for Volkswagen, Stellantis, Mercedes-Benz, Caixa Econômica Federal, and Vale. Since 2022, I've also been a university professor teaching DevOps, Cloud, and Software Engineering, which helps me stay sharp at translating complexity into clarity.
Currently, I am deepening my expertise in platform engineering, multicloud environments, and large-scale observability, always focusing on automation that scales, robust infrastructure, and delivery that teams can trust.