• Willing to take ownership of machine learning projects that include state-of-the-art solutions • Participating in the research and design of new solutions and complex architectures • Being proactive in proposing new tools, solutions, and methodologies • Working with object trackers deployed in edge hardware, using the latest NLP models, building generative models for image and video, work with the latest libraries and frameworks (LangChain, Diffusers, TensorRT, etc)

• Participate in the design and development of services focused on delivering an exceptional user experience, taking full ownership of your role and actively contributing to building high-quality products. • Frontend: React and TypeScript are your bread and butter. You work with Hooks, TanStack Query, Tailwind CSS, and Zod, translating mockups into polished, high-performing, and accessible interfaces. You write tests using Vitest and Playwright. • Backend: You build and maintain Lambda functions, ECS services, and REST APIs behind API Gateway. You work with SNS and SQS for asynchronous workflows, and you navigate between Aurora PostgreSQL and DynamoDB, knowing exactly when to use which. • Performance & Quality: You apply best practices, actively participate in code reviews, and keep an eye on error monitoring with Sentry. Your code holds up under heavy traffic. • Continuous R&D: You never just settle for what you already know. You experiment with new technologies and bring innovation to the team.

• Diseñar y liderar la arquitectura de soluciones robustas y escalables en entornos cloud-native, basadas en microservicios, serverless y event-driven. • Definir estándares de ingeniería y buenas prácticas que eleven la calidad, consistencia y sostenibilidad del desarrollo. • Asegurar la coherencia entre backend (Java/Python) y frontend (Angular/React) dentro de arquitecturas distribuidas. • Integrar la IA en el ciclo de desarrollo, impulsando nuevas formas de construir software con herramientas como Copilot o Cursor, con una visión clara del “por qué” y el “para qué”. • Mentorizar y elevar el nivel técnico del equipo. • Ser la persona referente del equipo, impulsando decisiones clave en arquitectura y evolución del software, fomentando autonomía y excelencia técnica. • Colaborar con equipos internacionales y stakeholders técnicos para traducir necesidades de negocio en soluciones reales. • Extender buenas prácticas y cultura de ingeniería al resto de sedes de SDG y a otros equipos de la organización (Big Data, IA y Analytics), contribuyendo a una base técnica global consistente. • Actuar como voz técnica del equipo, inspirando la evolución de la estrategia tecnológica.

- The full Aperture OS codebase — architecture, quality, and evolution. - Feature development end-to-end: scoping, building, shipping, iterating. - API integrations — pulling data from ad platforms, creative tools, and internal systems. - AI and LLM integrations — we use AI heavily in our creative and analysis workflows. - Database design and data modelling as the product grows. - Infrastructure, hosting, and deployment — keeping things running reliably. - Security, access control, and compliance for a multi-client environment.