• Develop microservices in Node.js using GraphQL and TypeScript • Build highly optimized SQL and NoSQL queries • Actively contribute to backend architecture design • Work directly with cloud systems and CI/CD practices • Implement software tests, including unit and integration tests • Research, evaluate, and implement new backend technologies and tools, staying up to date with industry trends and innovations.

• Support Mission Critical complex large scale application development and maintenance. • Provide Tier 3 support for public facing applications. • Design and develop quick prototypes. • Develop documentation throughout the software development life cycle. • Upgrading, configuring and debugging existing systems. • Provider development support on-premises application. • Participate on an agile O/M team. • Revise, update, refactor and debug code. • Serve as an expert on applications and provide technical support.

• Lead the design & implementation of architectural, security, privacy, and data management elements of a Copilot implementation at the FDIC • Support (and lead where possible) all necessary ATO processes required for Copilot use at the FDIC • Lead Copilot readiness assessment activities at the FDIC • Design and implement centralized Copilot administration at the FDIC across all available tools • Design and implement Copilot activity monitoring, governance, and compliance at the FDIC across all available tools • Design and implement Copilot grounded knowledge configuration and use at the FDIC across all available tools • Design and implement Copilot Studio use guidelines and governance and how it integrates with Microsoft Power Platform app development • Provide technical lead support for governance planning, implementation, and enforcement of Copilot use at the FDIC • Design and conduct pilots of Copilot capabilities within the FDIC as needed • Provide technical lead support for integration of Copilot with Microsoft Power Platform app development and use • Provide technical lead support for end user adoption, training, and solution design

• Entender objetivos do cliente e traduzir em métricas, KPIs e requisitos de dados. • Desenvolver relatórios e dashboards no Looqbox usando Python e SQL, garantindo padronização e performance. • Implementar e gerenciar Agentes de IA com foco em dados. • Conduzir análises exploratórias e ad hoc (coortes, funil, segmentações, variações de desempenho, root cause). • Criar e manter a camada semântica de métricas (definições, regras de negócio, dimensões) e documentação. • Storytelling com dados: preparar visualizações e recomendações claras e acionáveis. • Acompanhar a adoção da ferramenta e a saúde dos clientes por indicadores; sugerir melhorias de produto/uso. • Realizar troubleshooting e pesquisa para resolver problemas de dados/consulta/performance. • Colaborar com Gerente de Projeto e stakeholders do cliente; participar de reuniões quando necessário. • Promover boas práticas de data viz e padronização de relatórios. • Apoiar experimentações simples (testes A/B, hipóteses e leitura de resultados).