Senior Platform Engineer - AI-Driven SDLC & Cloud Native

dLocal; Barcelona; Presencial; EUR 85.000 - 125.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexibility

Fintech environment

Referral bonus

Social budget

dLocal Houses

Descripción de la vacante

dLocal is seeking a Platform Engineering Technical Referent in Barcelona to shape our internal developer platform, CI/CD automation and AI-native delivery stack. You will define architectures and best practices that scale across 60+ engineering teams, enabling reliable, automated delivery while maintaining security and compliance.

You will mentor engineers, lead architecture reviews, and collaborate across Security, Infrastructure and product teams to align roadmaps and reduce technical debt.

Formación

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 5+ 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 three.
• Hands-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).
• Experience building internal tooling, reusable SDKs/libraries, or platform components used by other engineering teams — a builder profile, not only an operator.
• Practical, 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.
• Automation mindset: able to spot manual, repetitive engineering work and turn it into platform capabilities.
• Advanced English; able to articulate complex ideas to both technical and non-technical stakeholders.

Responsabilidades

• 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.

Conocimientos

TypeScript/Node.js

Go

Python

Educación

Bachelor's degree in Computer Science/Software Engineering

Herramientas

Docker

Kubernetes

GitHub Actions

Argo Workflows/ArgoCD

Jenkins

AWS

Descripción del empleo

dLocal is seeking a Platform Engineering Technical Referent in Barcelona to shape our internal developer platform, CI/CD automation and AI-native delivery stack. You will define architectures and best practices that scale across 60+ engineering teams, enabling reliable, automated delivery while maintaining security and compliance.

You will mentor engineers, lead architecture reviews, and collaborate across Security, Infrastructure and product teams to align roadmaps and reduce technical debt.