Why should you join dLocal
dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate we make it possible for our merchants to make inroads into the worlds fastest-growing emerging markets.
By joining us you will be a part of an amazing global team that makes it all happen. Being a part of dLocal means working with 1000 teammates from 30 different nationalities and developing an international career that impacts millions of peoples daily lives. We are builders we never run from a challenge we are customer-centric and if this sounds like you we know you will thrive in our team.
Whats the role
As DCoder Lead you will own the technical vision development and adoption of DCoder dLocals internal AI-assisted coding platform. This role blends hands-on engineering platform ownership developer enablement and strategic leadership across engineering teams.
Youll act as the key technical referent for how AI-powered coding tools are designed integrated scaled and governed across the software development lifecycle.
What will you be doing
Own the architecture roadmap and evolution of DCoder integrating with LLMs CI/CD repos and engineering workflows.
Drive developer adoption through documentation demos training and enablement materials.
Define best practices and guardrails for AI-assisted coding (prompt design context management evaluation safety).
Partner with Engineering Platform Security and Product to align priorities and deliver impact.
Ensure DCoder operates reliably at scale balancing performance cost security and usability.
Gather continuous feedback from developers and iterate quickly on improvements.
Establish governance and standards around responsible AI usage in SDLC workflows.
What skills do you need
Real software development experience: 5 years hands-on engineering having shipped and operated production code; fluency with Git code review CI/testing and modern backend/front-end stacks.
Proven experience applying AI and LLM-based systems in real-world environments including assistants and agents used at scale.
Solid understanding of AI system technology (LLMs APIs orchestration prompt/context management evaluation cloud platforms).
Practical knowledge in building and deploying microservices and integrating third-party APIs and AI services.
Experience with monitoring applications in production.
Hands-on experience with AWS; GCP is a plus.
Leadership & Product
Product management or equivalent ownership experience preferably in developer tools platforms AI/ML systems or infrastructure.
Experience leading and developing engineers providing technical direction prioritization and support while fostering high standards and autonomy.
Technical depth plus product judgment: Ability to read/reference code and architecture prototype to de-risk ideas and define clear success criteria.
Strategy Metrics & Adoption
Data-driven execution: Comfortable designing metrics running experiments and using telemetry to inform prioritization and validate changes.
Strong ability to work in close partnership with Product contributing to discovery and prioritization.