• Integrate front-end portal components with IAM APIs to support real-time identity creation and provisioning • Deploy and configure APIs on gateways and developer portals • Perform data transformation and integration across middleware layers, orchestration engines, and IAM platforms • Troubleshoot and resolve API issues using simulators, log analysis, and other diagnostic tools • Partner with IAM engineers, application teams, and cross-functional stakeholders across multiple brands and geographies • Support phased global rollout activities, including coordination across multiple time zones • Contribute to SDLC processes and participate in automated deployment pipelines

• Designing, building, and maintaining scalable backend services and data interfaces • Developing RESTful and/or GraphQL APIs to expose data and business services • Building backend services that support real-time and batch data access • Ensuring APIs are scalable, resilient, and well-documented (OpenAPI / Swagger) • Implementing data ingestion, transformation, and orchestration services • Integrating with databases, data warehouses, and event streams • Optimizing data access patterns for performance, reliability, and cost • Supporting identity, consent, and data-governance requirements at the API layer • Monitoring and tuning backend services for performance and availability • Partnering with frontend, analytics, and data engineering teams on end-to-end solutions • Supporting CI/CD pipelines and infrastructure-as-code workflows

• Act as the technical lead of a squad in a fintech; • Define solution architecture for the credit engine project; • Lead new platform implementations; • Develop backend solutions with high quality and scalability; • Provide technical leadership within an agile framework, promoting best practices; • Drive resolution of complex problems, including researching solutions and conducting technical validations with the team; • Develop Proofs of Concept (PoC) to validate software architectures; • Implement microservices and full components, including instrumentation and deployment to cloud environments (AWS); • Promote the use of AI tools to accelerate deliveries and increase team productivity.

• Desenvolvimento e aprimoramento de serviços backend escaláveis, testados e entregues com alta qualidade e dentro do prazo; • Documentação técnica clara e atualizada, incluindo arquitetura, APIs e integrações; • Contribuição relevante em refatorações e evolução de sistemas legados; • Implementação de pipelines de CI/CD e práticas de observabilidade em serviços críticos; • Apoio no planejamento técnico das squads e mentoria de pessoas desenvolvedoras menos experientes.