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?
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, at volumes and regulatory complexity that leave no margin for unreliable delivery. Our engineering organization ships to production many times a day and is running one of the most ambitious AI-assisted engineering transformations in fintech.
You will own how dLocal builds and ships software — the platform, the paved roads, the reliability posture, and the way AI is embedded into the engineering workflow — so that every engineer at dLocal is demonstrably more productive and demonstrably safer in production six months after you start. You will have direct exec-level visibility on dLocal's automation program, a seat at the engineering strategy table, and the mandate to reshape how hundreds of engineers work.
What will I be doing?
You are accountable for two integrated outcomes: effective engineering productivity — velocity that survives contact with production, not velocity for its own sake — and production reliability — the SRE posture, rollback guarantees, and incident response that let teams move fast without breaking payments.
- Own the IDP: Standardized service templates, CI/CD pipelines, deployment tooling, feature-flag infrastructure, progressive delivery, automated rollback. Golden paths for each tech stack we currently operate, faster to use than to work around. A platform-as-a-product discipline where dLocal engineers are your customers.
- Own SRE and production excellence: Reliability engineering across dLocal's payment platforms. Observability standards. Incident management maturity. Production readiness reviews. On-call health. Error budgets. The operational contract between platform and product engineering teams.
- Own AI-assisted engineering, done right: You own how AI shows up in the developer workflow at dLocal. That means the evolution of dCoder — our proprietary AI code generation platform built on advanced models from Anthropic, OpenAI, and others — the integration of third-party assistants where they add value, the prompts and context engineering that keep AI output consistent with our architectural standards, and the guardrails that stop AI-generated code from reaching production without the same review, testing, and observability we require of any other change.
- Own standards and architectural consistency: You partner with our Principal engineering community and the Engineering Bar Raiser Program to define and enforce the standards that let dLocal scale without fragmenting.
- Drive organizational influence and adoption: You will lead the adoption program: enablement, internal comms, champions, migration plans, deprecation discipline. You measure success by how many teams are on the paved road, not by how many roads you have paved.
- Deliver against the metrics that actually matter: Deployment frequency and lead time for changes reported alongside change failure rate, time to restore, and code turnover rate. SLO attainment on critical payment paths, rollback success rate, paved-road adoption, AI-assisted PR defect density versus human-written baseline.
You will have direct exec-level visibility on dLocal's automation program, a seat at the engineering strategy table, and the mandate to reshape how hundreds of engineers work.
What skills do I need?
- You have run platform engineering, SRE, or a combined function at a meaningful scale — hundreds of engineers, production systems with real consequences when they fail. Fintech, payments, or other regulated high-stakes environments are a strong plus.
- You speak credibly to both a Principal engineer debating rollback semantics and an exec member asking why automation rate moves the P&L.
- You have strong opinions about the DORA framework and its limits in an AI-assisted world. You can articulate why change failure rate and code turnover matter more than deployment frequency as AI adoption scales.
- You have hands-on familiarity with modern AI-assisted development tooling — GitHub Copilot, Cursor, Claude Code, agentic coding platforms — and ideally experience evaluating, deploying, or building in-house AI coding capabilities.
- You are a builder of influence, not just of systems. You have taken a large engineering organization through a meaningful change in how they work.
- You operate fluently in English.
What will make you stand out:
- 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.
