Senior Platform Architect — AI-Driven SDLC

dLocal

Madrid

Presencial

EUR 90.000 - 120.000

Jornada completa

14 días+

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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

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.

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