2 дня назад
Head of Platform Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Platform Engineering (AI): Owns dLocal’s internal developer platform, SRE posture, production reliability, and AI-assisted engineering workflow across a large fintech engineering organization with an accent on standardized delivery, safe AI adoption, and payment infrastructure resilience. Focus on building golden paths, automated rollback, observability, incident response, architectural standards, and adoption programs measured through DORA and AI-era engineering metrics.
Location: Remote from Spain, Madrid, Barcelona, Montevideo, Argentina, Brazil, or Sao Paulo
Company
is a fintech payments platform connecting global merchants with consumers in emerging markets across Latin America, Africa, and Asia.
What you will do
- Own the internal developer platform, including service templates, CI/CD pipelines, deployment tooling, feature flags, progressive delivery, and automated rollback.
- Lead SRE and production excellence across payment platforms, covering observability, incident management, production readiness, on-call health, and error budgets.
- Develop and evolve dCoder, the proprietary AI code-generation platform, and integrate third-party AI assistants with appropriate engineering guardrails.
- Define and enforce standards for code review, testing, deployment, architecture, and AI-assisted development.
- Drive adoption across hundreds of engineers through enablement, communications, champions, migration plans, and deprecation discipline.
- Measure outcomes using DORA metrics, SLO attainment, rollback success, paved-road adoption, and AI-assisted pull-request defect density.
Requirements
- Experience leading platform engineering, SRE, or a combined function at the scale of hundreds of engineers.
- Experience with high-consequence production systems; fintech, payments, or regulated environments is advantageous.
- Strong understanding of DORA metrics and the impact of AI-assisted development on change failure rate, code turnover, and software quality.
- Hands-on familiarity with AI development tools such as GitHub Copilot, Cursor, and Claude Code.
- Experience leading organizational change, such as platform migrations, reliability initiatives, trunk-based development, or AI adoption programs.
- Fluent English is required.
Nice to have
- Experience building an in-house AI coding platform, including prompt engineering, context systems, agentic patterns, or evaluation frameworks.
- Experience improving change failure rate while increasing deployment frequency.
- Experience with regulated financial services and production payment systems.
- Public contributions or a documented point of view on platform engineering, reliability, or responsible AI-assisted software delivery.
Culture & Benefits
- Flexible schedules focused on impact and productivity rather than fixed hours.
- Fintech environment with substantial engineering challenges and opportunities to build.
- Monthly social budget for team activities, either in person or remotely.
- Referral bonus program.
- Houses program for one-week team coworking stays anywhere in the world.
Hiring process
- Talent Acquisition reviews the CV and communicates updates by email throughout the process.
- Artificial intelligence may assist with application, resume, or response assessment, while final hiring decisions are made by humans.
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