• 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.

• 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.

• Deliver the highest-quality, scalable, and AI-powered Salesforce solutions across the Salesforce, Data 360, and Agentforce platform. • Design and implement custom agentic and non-agentic solutions leveraging the breadth of the Salesforce and Data 360 programmatic capabilities such as Apex, JavaScript, Visualforce, Lightning Web Components, OmniStudio, and Business Rules Engine. • Design and build Data 360 solutions for the benefit of Generative AI, leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, and becoming proficient in RAG best practices. • Collaborate with Data 360, AI, Architecture, and Project teams to translate requirements into effective technical solutions. • Build scalable and secure data solutions on Data 360—DLOs, DMOs, identity resolution, calculated insights, and real-time activation patterns. • Design and build integrations between Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns. • Develop strategies to solve complex technical problems utilizing the full suite of Data 360 capabilities. • Explore and implement emerging AI capabilities, including GPT and LLM-driven use cases powered by unified customer data. • Stay current with Salesforce releases, Agentforce enhancements, and platform best practices, and acquire/maintain relevant Salesforce certifications. • Be a NeuraFlash evangelist in the Salesforce Community and help cultivate a company culture of success and fun. • Travel up to 25% for customer projects and company events.