• Own and support critical data/platform services. • Develop, maintain, and troubleshoot Airflow DAGs written in Python • Investigate issues related to data, DAGs, DAFFs, Elasticsearch indexes, Superset, and web applications • Perform root cause analysis and propose practical solutions • Implement new features and improvements in existing Python/Flask-based services • Work with Elasticsearch indexing, optimization, and troubleshooting • Work with Oracle and/or PostgreSQL databases • Support and improve GitLab CI/CD pipelines • Propose improvements across application, data, infrastructure, and operational layers • Communicate actively with the internal team and the client

• Desenvolver e manter aplicações utilizando .NET Core; • Atuar no desenvolvimento Fullstack (backend e frontend); • Participar das definições técnicas e da arquitetura das soluções; • Realizar integrações entre sistemas e APIs; • Garantir boas práticas de desenvolvimento, qualidade e performance das aplicações; • Atuar em conjunto com times multidisciplinares utilizando metodologias ágeis; • Contribuir para evolução tecnológica e sustentação dos sistemas.

• Design, implement and maintain new features and functionalities for the SAAS platform, understanding the requirements of insurance businesses and translating them into scalable and efficient software solutions • Work on both the front-end and back-end of the application, demonstrating expertise in various technologies, frameworks, and programming languages • Work collaboratively with product, design, engineering teams, and UX designers to understand end-user requirements, use cases, and technical concepts, translating them into a cohesive and effective solution while ensuring a seamless user experience. • Optimize the performance of the application to handle large amounts of data and high user traffic, delivering a smooth user experience • Participate in code reviews and enforce best coding practices, while also writing and executing unit tests and integration tests to maintain code quality • Investigate and promptly fix bugs to maintain the reliability of the platform • Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations in handling sensitive customer data • Stay up-to-date with the latest technologies, frameworks, and best practices to ensure we remain competitive and innovative • Design the platform with scalability and flexibility in mind, accommodating new features and changes as the number of clients and users grows • Provide mentorship to junior developers, aiding in their technical growth and effective contribution to the team's goals

• Design and develop AI solutions end-to-end, from experiments and prototypes to production-ready systems • Conduct R&D and build PoCs, exploring new AI tools and methods, testing ideas, and turning validated concepts into working solutions • Collaborate with cross-functional teams to design and integrate AI solutions effectively • Document solutions, experiments, and best practices to grow AI expertise across the company • Advise internal teams on AI adoption, tools, and implementation strategies • Lead or participate in internal workshops and knowledge-sharing sessions