• Work on the development, maintenance and evolution of backend solutions with a focus on distributed architecture and high availability • Develop and maintain APIs using .NET and GraphQL, ensuring performance, scalability and security • Build and support solutions based on a microservices architecture, promoting decoupling and efficiency between components • Perform integrations between internal financial systems and platforms in a Banking-as-a-Service (BaaS) context • Implement tasks from technical backlog stories, ensuring a complete understanding of requirements before execution • Actively participate in technical refinements, contributing critical analysis, technical feasibility assessments and defining the best implementation approach • Challenge requirements and identify possible gaps, inconsistencies or improvement opportunities before development • Propose technical solutions and architectural evolutions based on backend development and system integration best practices • Collaborate with technical teams on the continuous evolution of product, architecture and internal processes • Take ownership of deliverables, demonstrating technical accountability and a clear focus on business impact.

• Desenvolvimento de software embarcado utilizando linguagem C e C++ • Desenvolvimento de testes automáticos para garantia da qualidade dos produtos • Participação em projetos da área

• Designing systems that allow AI to participate directly in developer workflows • Building infrastructure that connects language models with the editor and developer tools • Developing context systems that help models reason about large codebases • Designing evaluation frameworks for AI-assisted development • Improving the reliability, latency, and cost efficiency of AI features • Working closely with editor and infrastructure engineers to ship ideas quickly • Pair programming with teammates to explore ideas and refine systems together

• Evolving the core systems that power editing, navigation, and large codebases • Improving Zed’s real-time collaboration infrastructure built on CRDTs • Designing editor data structures and indexes that update incrementally as code changes • Designing data structures and memory layouts that keep editor operations fast under large projects and continuous edits • Identifying and eliminating performance regressions across rendering, input handling, and editor state • Extending Zed across macOS, Linux, and Windows • Engineers regularly measure, profile, and improve the editor while maintaining strong testing discipline.