Platform Architect

dLocal

São Paulo

Remoto

BRL 300.000 - 420.000

Tempo integral

Há 3 dias
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Benefícios oferecidos por esta vaga

Flexibility in work hours
Work From Anywhere up to 3 months/year
Referral bonus program
Fintech industry exposure

Resumo da vaga

dLocal is seeking a Platform Engineering Technical Referent to steer our internal developer platform, CI/CD automation, and AI-native software delivery stack. You will enable 60+ engineering teams to take features from idea to production in a reliable, automated, and AI-assisted way across global regions.

You will design and evolve core platform components, promote best practices, and mentor engineers while collaborating with Security, Infra and product teams to meet business needs.

Qualificações

  • 5+ years of professional experience building backend, platform or DevOps systems.
  • Proficient in at least one of TypeScript/Node.js, Go or Python.
  • Hands-on experience with containerization & orchestration (Docker, Kubernetes) and modern CI/CD pipelines on a major cloud provider (AWS preferred).
  • Experience building internal tooling, reusable SDKs/libraries, or platform components used by other engineering teams.
  • Practical adoption of AI-assisted development in daily workflow and interest in building with LLMs and agents.
  • 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.
  • CI/CD Automation: Evolve our build and deployment platform on top of Kubernetes and GitOps tooling.
  • AI-native SDLC: Contribute to architecture of AI engineering stack and automated code review.
  • Architecture & Standards: Champion platform contracts, observability, security and performance practices.
  • Mentorship & Leadership: Serve as technical referent for a multi-disciplinary platform team.
  • Cross-functional Collaboration: Align roadmaps with Security, Infra and product teams.
  • Continuous Improvement: Track AI platform trends and pilot innovations.

Conhecimentos

Backend/Platform
Go/Node.js/Python
Docker/Kubernetes
CI/CD pipelines
AI-assisted development
English proficiency

Formação

Bachelor's degree in CS/SE or related

Ferramentas

Docker
Kubernetes
GitHub Actions
Argo Workflows/ArgoCD
AWS

Descrição da vaga

Why Join dLocal?

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. We don't just process payments; we are architects of payment ecosystems and partners in our customers' expansion. You'll work alongside 1,300+ teammates from 40+ nationalities and tackle global challenges from day one.

Why Join dLocal?

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. We don't just process payments; we are architects of payment ecosystems and partners in our customers' expansion. You'll work alongside 1,300+ teammates from 40+ nationalities and tackle global challenges from day one.

What's the opportunity?

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.

What will I be doing?
  • 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 platform-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.
What skills do I need?
  • 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.
What do we offer?

Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

  • Flexibility in how you work: We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and, depending on your role and location, you will combine self-managed focus time with moments of in-person connection in our collaboration hubs
  • Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity
  • Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded
  • Work From Anywhere: Team members can work while traveling for up to 3 months every year
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