• As a developer on Grupo Boticário's payments gateway team, your main responsibilities will be: • Develop solutions for complex problems that require regular creativity and innovative approaches to address failures; • Write and test code incrementally, in an agile manner, and with thorough documentation; • Perform high-quality code reviews and support colleagues with difficult design decisions; • Test, deploy, and monitor your code in production — continuously; • Collaborate with peers across teams to evolve our ecosystem; • Work on strategic projects for Grupo Boticário; • Maintain our payments platform by identifying issues, root causes, and their impacts; • Contribute, together with the team, to the evolution and decision-making about the future of our payments platform.

• Architect Core Infrastructure: Design, build, and maintain highly secure, resilient backend services in Java/Spring Boot that interface with payment processors and local financial networks across Latin America. • Optimize Data & Performance: Ensure high-availability and asynchronous processing of transaction financial data, keeping system latency low and success rates high. • Bridge to the Frontend: Develop and maintain the React-based frontend applications, dashboards, and internal tooling that interact with your backend services, ensuring deep integration and clean API consumption. • Leverage AI: Use AI tools to automate repetitive engineering workflows, accelerate delivery, and close skill gaps — from scaffolding new banking integrations to generating and reviewing code. • Lead & Mentor: Set the technical bar through backend code reviews, robust system design reviews, and hands-on mentorship of junior and mid-level engineers. • Own System Observability: Implement monitoring, logging, and tracing across the full stack to quickly isolate and fail-gracefully when external financial APIs experience downtime.

• Software development: Designing and implementing maintainable, well-tested backend services and full-stack applications. • AI application design: Developing business-specific AI applications based on existing Large Language Models. • System and data integration: Integrating existing AI models and services into existing systems and workflows. • API development: Designing, documenting, and delivering clean APIs. • Testing and validation: Building automated tests and CI/CD pipelines.

• Own the product roadmap for backend systems, APIs, and data platform capabilities • Define API design standards, versioning strategies, and developer experience (DX) principles • Drive the vision for a scalable, event-driven microservices architecture in collaboration with engineering leads • Establish and govern API governance frameworks including authentication, rate limiting, and SLA commitments • Lead strategy and execution for third-party integrations, partner APIs, and marketplace ecosystem development • Identify and prioritize integration opportunities with EHR/EMR platforms (Epic, Cerner, athenahealth, etc.), payer systems, and health data networks • Collaborate with technical architects to evaluate and adopt interoperability standards: HL7 FHIR R4 / R4B SMART on FHIR Direct Messaging / TEFCA / QHIN participation • Manage the integration roadmap from vendor evaluation through production go-live and ongoing lifecycle management • Monitor and synthesize healthcare technology market trends, regulatory shifts (ONC, CMS), and competitive landscape to inform the backend roadmap • Evaluate emerging capabilities — including commercial AI model APIs (Google Gemini, Anthropic Claude, OpenAI GPT), generative AI integration, and real-time data streaming — and translate them into business-ready features • Build ROI-based business cases for platform investments, with quantified impact projections tied to revenue, retention, or efficiency • Partner with Sales, Customer Success, and pre-sales teams to understand unmet integration and API needs from the market • Serve as the primary product owner embedded with backend engineering squads — running sprint planning, backlog grooming, and stakeholder reviews • Translate complex technical requirements into clear, actionable product specs, user stories, and acceptance criteria • Act as the internal API product evangelist, enabling internal teams to leverage platform capabilities effectively • Define and track platform KPIs: API adoption, uptime, latency, integration success rates, and developer satisfaction