Platform Architect

dLocal

Tandil

Remote

ARS 138,361,000 - 199,855,000

Full time

46 hours ago
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Benefits offered by this job

Flexibility in work schedule
Work From Anywhere
Fintech industry environment
Referral bonus program

Job summary

dLocal is seeking a Platform Engineering Technical Referent to guide the design, build and evolution of our internal developer platform, CI/CD automation, and AI-native software delivery stack. You’ll enable 60+ engineering teams to ship features reliably, with automated, AI-assisted workflows across a modern cloud-native environment.

You will lead architectural discussions, establish standards, mentor engineers, and collaborate with Security, Infra and product teams to meet business needs while

Qualifications

  • 5+ years of professional experience building backend, platform, or DevOps systems.
  • Proficient in TypeScript/Node.js, Go or Python.
  • Hands-on with Docker, Kubernetes and modern CI/CD pipelines on a major cloud provider (AWS preferred).
  • Experience building internal tooling and platform components.
  • Practical use of AI-assisted development in daily workflow.
  • Strong English communication with technical and non-technical stakeholders.

Responsibilities

  • Design, build and maintain core components of our internal developer platform.
  • Evolve CI/CD automation on Kubernetes and GitOps tooling.
  • Contribute to AI-native SDLC architecture and tooling.
  • Champion platform standards, contracts, observability and security.
  • Mentor and lead a multi-disciplinary platform team.
  • Collaborate with Security, Infrastructure and product teams to align roadmaps.
  • Identify automation opportunities and pilot AI innovations.

Skills

5+ years experience
Backend / Platform / DevOps
TypeScript/Node.js
Go or Python
Docker & Kubernetes
CI/CD (GitHub Actions, Argo, Jenkins)
AWS or cloud
AI-assisted development
English communication

Education

Bachelor's degree in CS or related field

Tools

Docker
Kubernetes
GitHub Actions
Argo Workflows/ArgoCD
Jenkins

Job description

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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