Amazon's International Technology creates new experiences for Amazon customers discovering Amazon catalog through WW Stores. Our vision is to provide the most relevant content and CX for their shopping mission. We are responsible for building the software and machine learning models to surface high quality and relevant content to the Amazon customers worldwide across the site.

The team, located in Madrid Technical Hub, comprises Software Developers and Managers, ML Engineers, Applied Scientists, Product Managers, Technical Product Managers and UX Designers who are experts on several areas of ranking, computer vision, recommender systems, Search and CX. Are you interested on how the experiences that fuel Amazon Stores are built to scale to customers WW? Are interesting on how we use state of the art AI to generate and provide the most relevant content?

Key job responsibilities
As a Software Development Engineer, you will contribute to all aspects of an agile software development life cycle including design, architecture, development, documentation, testing and operations. You will push your design and architecture limits by owning all aspects of solutions end-to-end, through full stack software development.

• You will be in charge of the complete software development life-cycle; defining, prioritising, designing, building, and testing new features.
• You will operate with globally distributed servers and customers. You will get the opportunity to work closely with a great team of software developers who will help you grow (and also learn things from you).
• You will understand what it takes to grow and operate Amazon business at our scale.

About the team
We have a highly collaborative and self-organized team culture, in which we tackle all projects and day-to-day responsibilities truly as a team. We work in 2 week sprints and continuously try to improve and get better at what we do and how we work together, having some fun while we're at it of course. Our projects usually focus on backend work as well as frequent collaboration with partner teams.