Role Description Por encargo de nuestro cliente, importante empresa del rubro financiero se encuentra en búsqueda del siguiente profesional para unirse al equipo: - Desarrollador Full Stack JAVA Funciones: - Desarrollo y mantenimiento de aplicaciones Backend utilizando Java y Spring Boot. - Diseño e implementación de APIs y microservicios. - Ejecución de pruebas unitarias y aseguramiento de la calidad del código. - Gestión de dependencias y construcción de proyectos con Maven. - Participación en procesos de despliegue utilizando Docker y Kubernetes. - Trabajo colaborativo con equipos técnicos para la integración de soluciones Backend y Frontend. Qualifications - Experiencia avanzada en desarrollo de aplicaciones Backend. - Experiencia mínima de 2 años trabajando con Java y Spring Boot. - Experiencia sólida en desarrollo de APIs y microservicios. - Conocimientos sólidos en Maven. - Experiencia en JUnit, JPA, Docker y Kubernetes. - Conocimientos en API Management. - Experiencia en ejecución de pruebas unitarias. - Conocimientos en Spring Batch. - Experiencia en Angular versión 16 o superior. - Deseable experiencia en Azure DevOps. - Deseable experiencia en GCP. - Deseable experiencia desarrollando con Java versiones 17 y 21. Benefits - Planilla completa por parte de la consultora. - Salario S/. 5000 – S/. 5500 (monto bruto). - Modalidad de trabajo remota, con presencialidad solo en casos excepcionales. - Horario de lunes a viernes de 8:30 a.m. a 6:30 p.m. - En caso de requerirse presencialidad, sede San Borja.

• Work with a team of talented individuals to create easy and intuitive digital products • Engage with multidisciplinary teams and multiple industries • Drive innovation by creating innovative projects for leading companies • Develop problem-solving and management skills

• Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries. • Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews. • Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures. • Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale. • Own backend features end-to-end — from scoping and technical design through deployment, monitoring, and iteration. • Implement security best practices: authentication, authorization, input validation, and data protection across distributed services. • Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features — such as spend categorization, document parsing, or natural language workflows — ensuring those integrations are reliable, observable, and cost-efficient. • Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results. • Collaborate with AI and data science teams to integrate model outputs into backend APIs — bridging experimental AI work and production systems. • Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow. • Instrument services with structured logging, distributed tracing, and metrics for full operational visibility. • Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews. • Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices. • Work closely with engineering, product, compliance, and data teams across multiple time zones and regions — communicating in both English and Spanish or Portuguese as the situation requires. • Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback. • Bring your regional perspective to product and engineering conversations — our LATAM customers have specific needs, and engineers who understand those markets make our product better.

• Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries. • Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews. • Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures. • Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale. • Own backend features end-to-end — from scoping and technical design through deployment, monitoring, and iteration. • Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.