Software Development Engineer, EU InTech Consumer Selection Discovery

Software Development Engineer, EU InTech Consumer Selection Discovery

We are seeking a Software Development Engineer to join the EU InTech Consumer Selection Discovery team. You will contribute to all aspects of an agile software development life cycle including design, architecture, development, documentation, testing and operations. You will own end-to-end solutions and participate in full stack software development.

This position is based in Madrid, the capital of Spain. A modern metropolitan city and an economical and industrial center of Spain.

• 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, and work closely with a team of software developers to grow and learn.
• You will understand what it takes to grow and operate Amazon business at our scale.

Our team's vision is that every customer should be confident to visit Amazon to find an inspiring, delightful and trusted destination that resembles their physical and branded showroom experience for high-end shopping. We work in a highly collaborative and self-organized culture, tackling projects and day-to-day responsibilities as a team. We operate in 2 week sprints and continuously strive to improve, with frontend and backend work and frequent collaboration with partner teams.

• Bachelor's degree or equivalent
• Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
• Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Experience programming with at least one modern language such as Java, C++, or C#, including object-oriented design

• Master's degree in computer science or equivalent
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Amazon is an equal opportunities employer. We believe that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Please consult our Privacy Notice to know more about how we collect, use and transfer personal data. Our inclusive culture empowers Amazonians to deliver the best results for our customers.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit our accommodations information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.