• Development and enhancement of scalable backend services that are well-tested and delivered with high quality and on schedule; • Clear, up-to-date technical documentation, including architecture, APIs, and integrations; • Meaningful contributions to refactoring and evolving legacy systems; • Implementation of CI/CD pipelines and observability practices for critical services; • Support for squad technical planning and mentorship of less-experienced developers.

• You will be part of the Wally team, which integrates RD Conversas, the product responsible for centralizing customer communications across channels such as WhatsApp, Instagram, and Web Chat. • The challenge is to bring operational efficiency to the support flow by delivering high-quality features on time, working in a high-performance, high-throughput environment with a focus on scalability and innovation, especially in the application of generative AI. • Develop high-quality code following internally defined engineering best practices. • Ensure software quality through testing and code reviews. • Specify features based on documents produced during the discovery phases. • Engage in code review processes, technical refinement, and mentoring of less experienced developers. • Participate in incident response and assist support teams and other areas with product-related issues.

• API and microservices development — build and evolve high-performance APIs and microservices in Go, designed for reliability, low latency, and scale. • End-to-end ownership — take full ownership of features and services, from discovery and design to production rollout and monitoring. • Cross-functional collaboration — work closely with product and business teams to translate real payment problems into elegant technical solutions. • Integration frameworks — strengthen and expand integration frameworks that scale across countries, providers, and complex payment rails. • Security and compliance — ensure excellence in security, privacy, and data protection by applying OWASP principles and engineering best practices. • Engineering culture — contribute to a culture of agile delivery, continuous improvement, and engineering craftsmanship alongside a senior team.

• Develop software, primarily as part of the tribe, responsible for enabling solutions across various AI topics; • Design standardized, governed data structures and architectures with practicable approaches, including working on data processing for AI and a document lake; • Proactively raise challenges and question approaches to identify the best path forward while seeking scalability;