dLocal is the financial infrastructure powering global commerce in the world's fastest-growing markets. The biggest companies in the world trust us to unlock growth in 60+ countries across emerging markets—moving money where others see complexity. You'll work alongside 1,300+ teammates from 40+ nationalities and tackle integral challenges from day one.
As a Platform Engineering Technical Referent at dLocal, you will be a senior technical reference for how we design, build and evolve our internal developer platform, our CI/CD automation, and our AI-native software delivery stack.
Your mission is to enable every engineering team at dLocal to take features from idea to production in a reliable, automated and increasingly AI-assisted way. Today our AI-SDLC platform automates a significant share of development tasks across 60+ engineering teams, and our delivery platform is being re-architected from the ground up on a modern cloud-native stack; Design, build and maintain core components of our internal developer platform — APIs, CLIs,



web surfaces and golden paths — enabling product teams (and AI agents) to build and ship services in a self-service, standardized way.
CI/CD Automation: Evolve our build and deployment platform on top of Kubernetes and GitOps tooling, replacing legacy pipelines with a declarative architecture that scales across environments and regions, reducing manual work and errors.
AI-Native SDLC: Contribute to the architecture of our AI engineering stack — coding agents, orchestration flows, automated code review and automated vulnerability patching — helping define what gets automated and how AI is embedded across the software development lifecycle.
Architecture & Standards: For example: platform contracts, observability, security, and performance best practices.
coach engineers, run architecture reviews, and foster a culture of continuous improvement.
Bachelor's degree in Computer Science, Software Engineering, or a related field.
~5+ years of professi

📌 Building Performance Architect (Madrid)
🏢 dLocal
📍 Madrid