• Diseñar e implementar arquitecturas de integración escalables y seguras basadas en APIs y microservicios. • Desarrollar, administrar y optimizar APIs empresariales utilizando Microsoft APIM, Azure y tecnologías backend como Node.js y .NET. • Garantizar la seguridad, monitoreo, rendimiento y disponibilidad de las integraciones y servicios expuestos en la nube.

• Build and maintain AI SaaS products • Develop backend services and APIs using Python • Work on web applications and internal tools • Collaborate on feature development and product improvements • Use AI-assisted development tools to improve productivity and workflows • Participate in rapid development and deployment cycles

• As a Software Engineer, you would will be part of a 250+ people Tech organisation. • Each engineer is part of a squad focussing on a part of the product, reporting to a Team Lead or an Engineering Manager. • Each squad is made with all the skills needed to build features end to end in autonomy, you will be working daily with a product manager, a designer and software engineers. • As a Software Engineer you will take part of the discovery phase of the projects with the Product Manager and Designer to define the feature to build; then you will participate with other engineers to design the software architecture, build it, test it and release it to production. • The squad is also working on supporting customers using the features built by monitoring and fixing issues in production.

• Build, maintain and scale platform-level back-end services to enhance and serve our Data and AI capabilities for internal and external customers. • Leverage these Data and AI capabilities to build and ship new features within the core Arbor product suite. • Own the successful delivery of high-impact features, directly contributing to the advancement of Arbor products. • Drive the development and implementation of advanced tests for new and existing features, ensuring high test coverage and reliability standards. • Proactively identify, take ownership of, and resolve critical system bugs and issues using advanced problem-solving skills and comprehensive system knowledge. • Maintain high code quality standards through thorough, constructive code reviews, ensuring solutions are well-tested, scalable, and maintainable. • Produce well-architected, efficient, and scalable code by applying industry-leading design patterns and methodologies. • Create and maintain thorough technical documentation and diagrams that promote best practices and ensure clear communication. • Collaborate closely with the Engineering Manager, Tech Lead, QA Engineer, and Product Manager to address feature requests. • Support the Engineering Manager with interviews, scrum ceremonies, and the implementation of strategies to improve and optimise product quality and lead time, demonstrating a comprehensive understanding of the development lifecycle and processes. • Support the Tech Lead in developing technical roadmap solution designs, identifying areas for improvement, prioritising, and executing technical debt reduction. • Act as a role model for technical excellence through code reviews, pair programming, and actively mentoring and coaching mid-level and junior engineers in best practices, fostering knowledge transfer within the team. • Actively lead and participate in tech talks, workshops, and team-based learning initiatives.