• Write, refactor, and maintain scientific code for processing observational data, running models, and supporting experimental workflows within the SWPC Testbed. • Support containerization of scientific applications using tools such as Docker or Singularity to ensure reproducibility and scalability. • Assist in the design, setup, and execution of testbed experiments, including integration of new model output and observational inputs into forecast workflows. • Perform data analysis and quality control of space weather model and observational datasets to support testbed experiments and product validation. • Contribute to the development of graphical user interfaces or visualization tools that enhance the usability of forecast tools and data products. • Collaborate with research scientists, system engineers, and operational staff to ensure code and workflows are aligned with SWPC operational constraints and priorities. • Support documentation of software, experiments, and evaluation results, and contribute to briefings or technical discussions with stakeholders.

• Write, refactor, and maintain scientific code for processing observational data, running models, and supporting experimental workflows within the SWPC Testbed • Support containerization of scientific applications using tools such as Docker or Singularity to ensure reproducibility and scalability • Assist in the design, setup, and execution of testbed experiments, including integration of new model output and observational inputs into forecast workflows • Perform data analysis and quality control of space weather model and observational datasets to support testbed experiments and product validation • Contribute to the development of graphical user interfaces or visualization tools that enhance the usability of forecast tools and data products • Collaborate with research scientists, system engineers, and operational staff to ensure code and workflows are aligned with SWPC operational constraints and priorities • Support documentation of software, experiments, and evaluation results, and contribute to briefings or technical discussions with stakeholders

• Develop, implement, and maintain consumer-facing Azure B2C applications, ensuring high performance, responsiveness, and reliability. • Collaborate with cross-functional teams to define, design, and ship new features. • Integrate Azure services effectively into the software architecture, optimizing scalability, security, and efficiency. • Ensure seamless data synchronization between Azure services and the consumer applications. • Continuously improve user experience by identifying areas for optimization and implementing solutions. • Conduct user testing and gather feedback for iterative product enhancements. • Implement security measures, access controls, and encryption to safeguard user data and privacy. • Ensure that all Azure B2C applications adhere to organizational security standards and compliance requirements. • Document system configurations, development processes, and changes for reference and future optimization. • Maintain records of software performance, issues, and resolutions. • Provide technical consultation to internal teams, ensuring alignment with Azure best practices. • Collaborate effectively with UX/UI designers, backend developers, and stakeholders to achieve cohesive product functionality. • Custom Policies for Sign In, Sign Up, Reset Password, Profile Edit.

• Analisar os requisitos e desenvolver soluções de software a partir das solicitações da área de produtos; • Apoiar na melhoria dos processos de desenvolvimento e aperfeiçoamento das soluções já existentes; • Garantir que as documentações sejam constantemente atualizadas e alinhadas com as últimas versões dos sistemas e ferramentas; • Se preocupa com a qualidade da entrega, incluindo a criação e manutenção de testes automatizados (unitários, funcionais e BDD); • Integrar APIs e soluções de IA Generativa (OpenAI, Gemini, Bard, etc.) às nossas aplicações, criando sistemas mais inteligentes e eficientes; • Ajustar e validar parâmetros importantes dos modelos (como temperature, tokens e context window), melhorando a performance e o alinhamento com nossos casos de uso; • Monitorar e otimizar a qualidade das respostas das IAs integradas, reduzindo problemas como alucinações ou inconsistências nos resultados; • Desenvolver pipelines robustos e automatizados para lidar com integrações e fluxos envolvendo IAs externas (ex.: armazenamento em bancos vetoriais e buscas semânticas); • Implementar e manter guardrails éticos e práticos para o uso responsável dessas ferramentas, garantindo segurança, privacidade e qualidade.