[All remote jobs](https://jobicy.com/jobs.md)Open role[![dLocal logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/5c2f54fe-221.jpeg)](https://jobicy.com/company/dlocal.md)Remote opportunity at[dLocal](https://jobicy.com/company/dlocal.md) # Head of Platform Engineering Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/dlocal.md)Share26 Aug 2026Published28Listing views1Application actions25 Sep 2026Apply before Opportunity details ## About this role. AI SummarydLocal is seeking a senior leader to own platform engineering, SRE, production reliability, and organization-wide AI-assisted engineering practices. The role leads internal developer platform capabilities including service templates, CI/CD, progressive delivery, rollback automation, observability, and paved-road adoption. It also requires shaping governance and measurement for AI coding tools while maintaining rigorous code-quality, testing, and production-safety standards. Success is measured through balanced delivery and reliability outcomes, including DORA metrics, SLO attainment, rollback success, adoption, and AI-assisted defect density. This is an executive-visible transformation role influencing hundreds of engineers in a high-stakes payments environment. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis role combines technical ownership of a large-scale developer platform and SRE function with the organizational challenge of changing engineering behavior across hundreds of people. The payments context, reliability expectations, and AI-governance mandate require exceptional technical judgment and executive-level influence. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$260,000US market range$210k–$320k0$352k AI insightNo actual salary is disclosed. This is a US-market estimate in USD for a Head of Platform Engineering leading platform, SRE, and AI engineering transformation at a fintech-scale organization; estimated base salary is approximately $210,000-$320,000 annually, with a midpoint of $260,000. Total compensation may be higher when bonus and equity are included. ## Core skills Skills and capabilities most closely associated with this opportunity. [Platform Engineering](https://jobicy.com/jobs?search_keywords=Platform%20Engineering.md)[Site Reliability Engineering](https://jobicy.com/jobs?search_keywords=Site%20Reliability%20Engineering.md)[Internal Developer Platform](https://jobicy.com/jobs?search_keywords=Internal%20Developer%20Platform.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Progressive Delivery](https://jobicy.com/jobs?search_keywords=Progressive%20Delivery.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Incident Management](https://jobicy.com/jobs?search_keywords=Incident%20Management.md)[DORA Metrics](https://jobicy.com/jobs?search_keywords=DORA%20Metrics.md)[AI-Assisted Development](https://jobicy.com/jobs?search_keywords=AI-Assisted%20Development.md)[Fintech Infrastructure](https://jobicy.com/jobs?search_keywords=Fintech%20Infrastructure.md) Sample interview questionsHow would you improve deployment frequency without increasing change failure rate?I would establish a baseline for deployment frequency, lead time, change failure rate, and time to restore, then improve delivery through standardized pipelines, automated testing, progressive delivery, and reliable rollback. Each velocity initiative would be evaluated against its effect on reliability metrics, with regressions triggering investigation rather than being accepted as a tradeoff. Describe how you would build an internal developer platform as a product. I would identify the highest-friction engineering journeys, define opinionated golden paths, and make the supported route materially faster than bespoke alternatives. I would assign product-style ownership, gather user feedback, publish adoption and satisfaction metrics, and use migration plans and deprecation policies to steadily reduce fragmentation. What guardrails are essential for AI-generated code in a regulated payments environment? AI-generated changes should pass the same controls as all production code: peer review, automated tests, security scanning, architecture standards, and observability requirements. I would also implement approved context sources, prompt and model governance, evaluation datasets, auditability, and measurement of defect rates against non-AI-assisted baselines. How would you improve incident management and on-call health across many product teams? I would define consistent severity, escalation, communications, and post-incident review practices, supported by actionable observability and clear service ownership. I would track SLOs, error budgets, time to restore, recurring incident causes, and on-call load, then prioritize systemic fixes rather than relying on heroics. How do you lead adoption when engineers resist standardized tooling? I start by understanding the reasons for resistance and use credible early adopters to validate the value proposition. I pair clear standards with enablement, documentation, migration support, champions, and visible metrics showing improvements in developer experience and reliability, while ensuring exceptions are intentional and time-bound. 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. Most companies are learning the hard way that giving engineers AI tools and hoping for the best produces more code, not better software. Deployment frequency rises; change failure rate rises with it. Rollbacks become routine. Codebases drift out of architectural consistency as teams lean on different assistants with different defaults. The productivity win gets consumed by rework, incidents, and technical debt. We are not running that experiment. 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. That’s the opportunity. 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. These are not two jobs. They are one job, because the platform is the mechanism through which both are delivered. 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. You will ship tools, teach teams how to use them, measure the outcomes, and iterate. 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. Code review, testing, deployment, and AI usage standards. Drive organizational influence and adoption. Owning the platform is 30% of the job. The other 70% is changing how hundreds of engineers work. 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. Not vanity numbers. Deployment frequency and lead time for changes reported alongside change failure rate, time to restore, and code turnover rate — the four traditional DORA metrics plus the AI-era additions. SLO attainment on critical payment paths, rollback success rate, paved-road adoption, AI-assisted PR defect density versus human-written baseline. A deployment frequency win that comes with a CFR regression is not a win. ### 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, without prompting, why change failure rate and code turnover matter more than deployment frequency as AI adoption scales. You have seen the “more code, more defects” failure mode and you have an opinion on how to prevent it. 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 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. 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 — trunk-based development, a platform migration, a new reliability standard, an AI adoption program — and you can describe the adoption program in detail, because you designed and ran it. 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. ### Compensation ### Additional Information 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. What happens after you apply? Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process! Also, you can check out our [webpage](https://t.lever-analytics.com/email-link?dest=https%3A%2F%2Fdlocal.com%2F&eid=aef21020-4dcd-46c4-9847-95ccd3651332&idx=1&token=rqc7gOyvQkQ91DDUfVxbdQLVTfQ), [Linkedin](https://t.lever-analytics.com/email-link?dest=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdlocal%2F&eid=aef21020-4dcd-46c4-9847-95ccd3651332&idx=2&token=0eI_Z5HRCSV966dZjpsae-VX3dw) and [Youtube](https://t.lever-analytics.com/email-link?dest=https%3A%2F%2Fwww.youtube.com%2Fc%2FdLocalPayments&eid=aef21020-4dcd-46c4-9847-95ccd3651332&idx=4&token=ldItr6wwoy9FP2UZu32oh3E27W4) for more about dLocal! Show more [Apply now >](https://jobicy.com/jobs/151735-head-of-platform-engineering.md) > Annual salary information is not provided for this position. 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