About

Ramon Medeiros is a backend engineer based in Stockholm. His work spans agentic AI platforms, payment systems serving European markets, distributed backends, and the cloud infrastructure underneath all of it.

He started out in virtualization and open-source systems tooling — KVM, qemu, libvirt — then moved through test automation and continuous integration, into cloud infrastructure, and on to product backends. He writes about practical engineering problems and solutions at ramonmedeiros.dev.

What I Work On

Payments and financial systems — payment methods across European markets, Apple Pay and Google Pay on the backend, a subscription product, in-house ledgers, and A/B pricing and fraud analytics
Distributed backends — monolith-to-microservices migrations, GraphQL and REST APIs, third-party integrations, and accounting automation
Cloud infrastructure — Terraform, Helm, and Kubernetes across AWS and Google Cloud, including backup tooling for CloudSQL and Bigtable
Test engineering — moving suites from release gate into CI, cutting a Robot Framework suite from an hour to 25 minutes, and guidelines that eliminate flaky tests

Technical Skills

Languages: Golang, Python, TypeScript
Backend: microservices, REST and GraphQL APIs, Apache Kafka, Temporal, event-driven and durable execution
Infrastructure: Kubernetes, Docker, Terraform, Helm
Cloud: AWS (Lambda, API Gateway, SSM, S3), Google Cloud Platform (Cloud Storage, CloudSQL, Bigtable, Identity-Aware Proxy)
AI: LLM evaluation harnesses, agentic backends, machine learning fundamentals
Testing: Selenium, Robot Framework, Python unittest/mock, API mocking, end-to-end and UI automation
CI/CD: Azure DevOps, Jenkins

Education

Universidade Estadual de Campinas (UNICAMP) — Bachelor's Degree, Economics (2016–2018)
Fatec Americana "Ministro Ralph Biasi" — Technologist, Information Security (2010–2012)

Languages

Portuguese (native), English (bilingual), Spanish (limited working), Swedish (elementary)

Side Projects

Cheap Stocks — a stock screening tool that helps value investors identify undervalued stocks based on fundamental metrics