• Desarrollar aplicaciones backend en Java integradas con DB2 y Oracle • Diseñar y optimizar consultas SQL complejas • Implementar lógica en base de datos (procedimientos, funciones, triggers) • Analizar y mejorar performance de queries • Participar en diseño de arquitectura orientada a datos • Garantizar integridad y eficiencia de la información • Colaborar con equipos técnicos multidisciplinarios

• Desarrollar y mantener aplicaciones backend en Java • Diseñar e implementar APIs RESTful • Participar en el diseño de arquitectura y decisiones técnicas • Aplicar buenas prácticas ( clean code, SOLID ) • Realizar pruebas unitarias e integración • Participar en code reviews y mentoría • Colaborar con equipos bajo metodologías ágiles • Resolver incidencias en entornos productivos

• Work on challenging problems in backend application development, algorithms, system design, and serving in production. • Design abstractions that minimise custom code. • Deal with data scattered across multiple systems. • Work on a cutting edge stack consisting of Java, Spring, Hibernate, Redis, Elasticsearch, PostgreSQL, BigQuery, and AWS. • Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions. • Take accountability for the quality, total cost of ownership, maintainability and security of the component developed. • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. • Seek out opportunities for innovation that can be shared between multiple teams. • Help shape company culture, engineering practices, and the product as an early team member.

• Own the full API lifecycle from design and implementation to monitoring, optimization, and documentation for both public and internal APIs • Design and implement async workflows for task orchestration, content moderation, prompt enhancement, and post-processing pipelines • Optimize database queries and improve performance for a high-traffic Postgres database • Build rate limiting, fraud detection, and credit management systems • Implement comprehensive API security, rate limiting, authentication, and monitoring systems to ensure reliability at scale • Improve the public API developer experience with better documentation, SDKs, and tooling • Improve the performance, reliability, and code quality of our codebases