Platform Architect

dLocal; Madrid; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

dLocal is seeking a Platform Engineering Technical Referent in Madrid to guide the design, build and evolution of our internal developer platform, CI/CD automation, and AI-native software delivery stack. You will enable engineering teams to move ideas to production reliably with automated, AI-assisted workflows.

You will shape architecture, set standards, and mentor a multidisciplinary platform team, collaborating with Security, Infra and product teams to meet scale and compliance demands.

Formación

• Advanced English with ability to articulate complex ideas to technical and non-technical stakeholders.
• Experience building internal tooling, reusable SDKs/libraries, or platform components for other teams.
• Hands-on containerization and orchestration with Docker and Kubernetes on a major cloud provider (AWS preferred).
• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience in backend, platform or DevOps systems with proficiency in TS/Node.js, Go or Python.

Responsabilidades

• Lead the design, build and evolution of the internal developer platform and CI/CD automation.
• Define best practices and architectural patterns for scalable, AI-assisted delivery stacks.
• Collaborate with cross-functional teams to align roadmaps and improve platform capabilities.

Conocimientos

Advanced English

Platform engineering

Backend/DevOps

TypeScript/Node.js

Go

Python

AI-assisted development

Educación

Bachelor's degree in Computer Science, Software Engineering, or related field

Herramientas

Docker

Kubernetes

GitHub Actions

Argo Workflows/ArgoCD

Jenkins

AWS

Descripción del empleo

• 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; you will help drive both forward, defining best practices and architectural patterns as complexity and business demands grow
• Platform Engineering: 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: Champion best practices, standards, and author and review RFCs that impact how we build and deploy code company-wide. For example: platform contracts, observability, security, and performance best practices
• Mentorship & Leadership: Serve as technical referent for a multi-disciplinary platform team; coach engineers, run architecture reviews, and foster a culture of continuous improvement
• Cross-Functional Collaboration: Work with Security, Infrastructure and product engineering teams to align roadmaps, manage technical debt, and ensure platform capabilities meet business needs
• Continuous Improvement: Track industry trends in platform engineering and applied AI, identify automation opportunities, and pilot innovations that keep our platform ahead of scale and compliance demands

Advanced English; able to articulate complex ideas to both technical and non-technical stakeholdersExperience building internal tooling, reusable SDKs/libraries, or platform components used by other engineering teams — a builder profile, not only an operatorHands-on experience with containerization & orchestration (Docker, Kubernetes) and modern CI/CD pipelines (GitHub Actions, Argo Workflows/ArgoCD, Jenkins or similar) on a major cloud provider (AWS preferred)Bachelor’s degree in Computer Science, Software Engineering, or a related field5+ years of professional experience building backend, platform or DevOps systems, with strong programming proficiency in at least one of TypeScript/Node.js, Go or Python — and willingness to work across all threeAutomation mindset: able to spot manual, repetitive engineering work and turn it into platform capabilitiesPractical, demonstrable adoption of AI-assisted development (Claude Code, Copilot, Cursor or similar) in your daily workflow, and genuine interest in building with LLMs and agents