banco BV

• Support the administration, maintenance and monitoring of databases in a restricted and sensitive HR environment, ensuring confidentiality, availability, integrity and security of information. • Work alongside development, HR, information security and infrastructure teams, supporting the operation of SQL Server databases in both on-premises and cloud (GCP) environments. • Participate in backup and recovery routines, access control, performance monitoring, troubleshooting and responding to requests related to HR data.

• Perform advanced administration and ongoing evolution of the ServiceNow platform; • Provide technical leadership for squads and strategic initiatives; • Implement and optimize ITIL processes (ITSM, ITOM, ITAM, SecOps); • Work with Discovery and Service Mapping; • Ensure efficient management of SLAs, indicators, and continuous improvement; • Develop integrations between platforms and systemic architectures; • Align technical solutions with business strategy and translate business requirements into technological solutions; • Communicate with technical and executive stakeholders; • Operate in a high-criticality, high-complexity corporate environment; • Contribute to platform evolution with a product-oriented vision; • Work with Virtual Agent / Live Agent;

• Senior Software Engineer for the Finance tribe; • Lead strategic technical decisions on high-complexity projects; • Design and evolve microservices- and event-driven architectures; • Act as the technical reference for the team, promoting engineering best practices; • Ensure the quality, security, and performance of developed solutions; • Collaborate with business areas and enterprise architecture to align technical solutions with strategic objectives; • Contribute to the evolution of the company's engineering culture and innovation.

• Drive the development of highly complex systems. • Ensure the robustness of the Java ecosystem for the insurance sector.

• Você será responsável por compreender o negócio do banco e atuar em uma estrutura ágil (tribos e squads), contribuindo para a construção de visões de negócio e soluções que suportem os objetivos estratégicos da companhia. • Construir visões de negócio, conduzindo cerimônias de mapeamento de fluxo de valor, capacidades, funcionalidades e processos para entendimento do estado atual (AS IS); • Definir e propor soluções de alto nível com base em padrões, pilares e referências de arquitetura; • Projetar arquiteturas escaláveis e alinhadas às inovações tecnológicas; • Capturar a mentalidade tecnológica adotada para resolver problemas de negócio; • Definir padrões arquiteturais e orientar como as aplicações serão estruturadas, seus módulos e interações; • Disseminar conhecimento entre times de negócio e engenharia.

• 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;

• Realizar testes funcionais e não funcionais em aplicações mobile (Android e iOS) e web; • Validar fluxos, regras de negócio e comportamentos das funcionalidades desenvolvidas; • Executar testes de performance, carga e estabilidade, quando necessário; • Mapear cenários de teste, identificar riscos e reportar falhas de forma clara e estruturada; • Atuar em parceria com desenvolvedores, product owners, designers e demais stakeholders; • Apoiar o time na prevenção de incidentes e melhorias contínuas de qualidadeGarantir a qualidade das entregas considerando usabilidade e experiência do usuário.

• Act as a technical reference and accelerate the data and AI journey • Evolve the Lakehouse • Define and implement practices for analytical transformations and modeling • Ensure data governance and data quality • Enable AI use cases such as RAG, internal agents, and predictive models

• Promote a product culture and a data-driven mindset, strengthening BV's data strategy. • Define, prioritize, and communicate short- and long-term goals for data products. • Develop deep knowledge of users and stakeholders through research, analysis, and interviews. • Specify and refine requirements, working closely with business teams, engineers, and analysts. • Organize problems and opportunities, leading discovery activities and designing solutions across multiple domains.

• Develop and maintain analytical and Machine Learning models to solve business problems; • Perform data exploration, cleaning and preparation, including feature engineering; • Analyze data and generate actionable insights to support decision-making; • Work closely with business stakeholders to understand requirements and translate them into analytical solutions; • Evaluate model performance and propose continuous improvements; • Document analyses, models and results clearly; • Support model productionization in partnership with data engineering / MLOps teams; • Participate in technical discussions and contribute to the evolution of team best practices.