• Implementar sistemas, aplicaciones y soluciones bancarias que cumplan rigurosamente con los criterios de aceptación y lineamientos de las gerencias. • Evaluar el rendimiento de las plataformas actuales y proponer mejoras continuas alineadas con las mejores prácticas de la ingeniería de software. • Desarrollar código limpio, mantenible y modular bajo el framework Java Springboot, minimizando de forma proactiva la deuda técnica. • Diseñar integraciones de sistemas mediante APIs seguras y resilientes, gestionando versiones y aplicando patrones de mensajería eficientes. • Diseñar y mantener pipelines automatizados de CI/CD para asegurar la calidad, trazabilidad y confiabilidad en cada despliegue. • Optimizar modelos de bases de datos relacionales y no relacionales, garantizando la integridad de la información y el rendimiento del sistema. • Validar la funcionalidad del software mediante la ejecución de pruebas unitarias, de integración y End to End (Developer Testing). • Colaborar activamente con equipos multidisciplinares, comunicando avances y bloqueos oportunamente para asegurar los tiempos de entrega.

• Serve as a trusted technical advisor for strategic customer accounts, providing specialized expertise across data resilience, security, cloud-native technologies, and Kubernetes platforms. • Lead architecture reviews, resilience assessments, operational readiness reviews, and solution validation engagements to identify risks, gaps, and opportunities to improve resilience and recoverability. • Engage technical and executive stakeholders on resilience strategy, cyber recovery preparedness, cloud modernization, and operational best practices. • Provide guidance on protecting and recovering workloads across virtual, physical, cloud, SaaS, and containerized environments. • Assess Kubernetes and container-based application architectures and advise on data protection, disaster recovery, and operational resilience for cloud-native workloads. • Analyze telemetry, platform adoption trends, and operational indicators to identify optimization opportunities and expansion signals. • Collaborate with Customer Success, Sales Engineering, Product Management, and Support teams to resolve complex technical challenges and advocate for customer outcomes. • Deliver technical workshops, executive briefings, and strategic advisory sessions that drive adoption and long-term customer success. • Act as a subject matter expert in Kubernetes data protection, cloud-native resilience, container platforms, and the Veeam Kasten portfolio.

• Ajudar o time de desenvolvimento nas necessidades do dia como validação de testes, automatização de tarefas, ajuda com deploy e claro codar nervosamente.

• Develop, maintain, and improve data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable curated datasets. • Integrate new data sources into the existing data ecosystem, helping expand the platform’s capabilities and improve business visibility. • Support financial reconciliation activities, P&L routines, and global closing processes by ensuring data consistency, accuracy, and traceability across different sources. • Process large volumes of structured and semi-structured data, optimizing transformations, storage formats, and query performance using Delta Lake and Lakehouse best practices. • Monitor, troubleshoot, and support existing pipelines, identifying issues, investigating discrepancies, and ensuring reliable daily and monthly processing. • Propose and implement better technical approaches to improve performance, scalability, maintainability, and data quality across the financial data ecosystem. • Work closely with existing data engineers, business stakeholders, finance teams, and technology teams to understand needs and deliver high-quality data solutions. • Support data governance, validation rules, auditability, documentation, and controls to ensure trustworthy and well-managed financial data. • Support initiatives involving AI models and advanced data capabilities, helping integrate AI-driven insights and automation into data workflows.