PROFILE
I'm a Platform Engineer passionate about creating innovative solutions. With over ten years of experience in Terraform, Kubernetes, and AWS, I specialize in optimizing processes, implementing agile infrastructure, and driving continuous delivery. Being a cloud-native advocate, my enthusiasm for scalability and automation drives me to overcome challenges and create efficient collaborative environments. Lately, I've been bringing AI agents into platform operations. I also worked for twelve years as a backend developer.
EMPLOYMENT HISTORY
I lead the restructuring of the platform layers that give developers more control across hundreds of applications: GitOps with ArgoCD, secure secret management and scalable Azure DevOps pipelines.
I write Kubernetes operators that remove manual work from application bootstraps, developer access and workload management, and I'm the company's go-to person for Kubernetes.
With AI, I write operators in days instead of weeks, review hundreds of workloads with a Workload Advisor skill and correlate Grafana, ArgoCD and internal docs through MCP-based agents. I set up and run our LLM apps in production, and I'm building a first-responder agent with the Claude Agent SDK that investigates firing alerts by following their runbooks.
Improved pipeline quality and efficiency in GitLab CI, rewrote application definitions to use Helm in an OKD multi-cluster environment, handled Kubernetes and AWS resources with Terraform and implemented Datadog and its best practices for all the team's applications.
I modernized the entire infrastructure, giving the applications the ability to scale: Terraforming a new network topology, migrating from EC2-hosted applications to Kubernetes and boosting the developer teams with CI/CD pipelines and guidance on the new stack. I created observability and service mesh layers for the cluster. This is a huge project, one I'm proud of.
As a cloud engineer, I helped the squads in my tribe deliver their applications with scalability and performance across a plurality of languages, patterns and tools, including the instant payments squad behind the Brazilian Pix.
When invited to be a cloud architect, instead of dealing with scattered patterns, I started to create company-wide platforms, bringing Kubernetes and AWS EventBridge to the table as our main computing and event-driven platforms.
As a freelancer, I migrated the applications from Heroku to AWS, using Terraform and Kubernetes, and implemented CI/CD pipelines through GitHub Actions.
I also guided the developers through the cloud services to achieve their goals and advised the manager on cloud matters.
I joined as a backend developer and moved to DevOps in Jul 2019. Helping the developers solve bottlenecks, I scaled the applications properly, supporting a 3,000% growth in the customer base.
Using the metrics provided by AWS, I tuned instance provisioning and chose the right instance reservations, reducing costs by 30%.
BEFORE DEVOPS
Eleven years on the other side of the pipeline, building and maintaining backend applications in PHP, Ruby, Node.js and Python, with REST/SOAP integrations, RabbitMQ messaging, Redis caching, MySQL, PostgreSQL and MongoDB databases, and Docker. A Linux user since I was a kid, I always stayed close to the servers my code ran on.
That background shapes how I build platforms: I design them with the developer experience in mind, understand how applications behave under load, and can trace a problem from the code down to the infrastructure. Chasing performance and scalability there is what took me to DevOps.