Head of Platform Engineering

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. dLocal (NASDAQ: DLO) is the payments platform connecting global merchants with billions of emerging-market consumers. We run mission-critical infrastructure across LatAm, Africa, and Asia. Our engineering organization ships to production many times a day and is running one of the most ambitious AI-assisted engineering transformations in fintech. We believe the platform is the distribution layer for AI inside an engineering organization, and that effective productivity — shipping faster without shipping more defects — is only achievable when standardization, reliability, and AI adoption are owned by one leader with the mandate and seniority to drive change across the org.

Responsibilities

Accountable for two integrated outcomes: effective engineering productivity and production reliability; Own the IDP: standardized service templates, CI/CD pipelines, deployment tooling, feature-flag infrastructure, progressive delivery, automated rollback; golden paths for each tech stack; platform-as-a-product discipline; Own SRE and production excellence: reliability engineering across payment platforms; observability standards; incident management maturity; production readiness reviews; on-call health; error budgets; operational contract between platform and product engineering; Own AI-assisted engineering done right: evolution of dCoder, integration of third-party assistants, prompts and context engineering, guardrails for AI-generated code; Own standards and architectural consistency: partner with Principal engineering community and Engineering Bar Raiser Program; code review, testing, deployment, and AI usage standards; Drive organizational influence and adoption: lead adoption program; enablement, internal comms, champions, migration plans, deprecation discipline; Deliver against metrics that matter: DORA metrics, SLO attainment on critical payment paths, rollback success rate, paved-road adoption, AI-assisted PR defect density versus human-written baseline

Requirements

Run platform engineering, SRE, or a combined function at a meaningful scale — hundreds of engineers, production systems with real consequences when they fail; Have strong opinions about the DORA framework and its limits in an AI-assisted world; Articulate, without prompting, why change failure rate and code turnover matter more than deployment frequency as AI adoption scales; Have seen the 'more code, more defects' failure mode and have an opinion on how to prevent it; Have hands-on familiarity with modern AI-assisted development tooling — GitHub Copilot, Cursor, Claude Code, agentic coding platforms; Understand that a foundation model wrapper is not a product, and that the difference between a vibe-coding accelerator and a durable productivity system is context, standards, and measurement; Be a builder of influence, not just of systems — have taken a large engineering organization through a meaningful change in how they work, e.g., trunk-based development, platform migration, new reliability standard, AI adoption program, and can describe the adoption program in detail because you designed and ran it; Operate fluently in English

Nice to have

Fintech, payments, or other regulated high-stakes environments are a strong plus; Experience evaluating, deploying, or building in-house AI coding capabilities; Experience with an in-house AI coding platform beyond simple IDE integration — prompt engineering, context systems, agentic patterns, evaluation frameworks for AI-generated code; A track record of driving the change failure rate down while deployment frequency goes up, with data to prove it; Experience in regulated financial services with production payment systems; A public point of view — writing, talks, open-source contributions — on platform engineering, reliability, or the responsible application of AI to software delivery

Benefits

Flexibility in how you work: flexible schedules and combine self-managed focus time with in-person connection in collaboration hubs; Fintech industry: dynamic and ever-evolving environment; Referral bonus program; Work From Anywhere: work while traveling for up to 3 months every year; Tailored benefits for each country