Book Depository - part of the Amazon.com group of companies, offers over 20 million book titles, a wide choice of payment currencies and free shipping to customers in over 130 countries worldwide. Book Depository aims to delight customers by constantly improving its pricing, delivery and shopping experience. Book Depository has teams in London UK (HQ), Madrid Spain (Engineering), South Africa (Customer Services) and Gloucester UK (Fulfilment Centre, Customer Services).
Come and join us in our development center in Madrid, Spain! We are searching for a smart, energetic, curious, and self-disciplined Software Development Engineer to define and deliver our efforts for our current and future Customers.
We are developing software to improve the Customer Experience of the Book Depository’s customers and to evolve our back and front-end services, tools and platforms to better reach to more customers worldwide. Projects span the definition of new customer-facing features, programs and services to the internal development of new systems, customization of existing systems, and integration of software developed by third parties.
At Book Depository, we look for software engineers who possess a wide variety of skills. As the successful applicant for this role, you will solve varied complex problems (including business prioritization, technical challenges in optimization, large-scale computing, distributed systems, web applications, scalability, security, and algorithms, to name just a few). At Book Depository is composed of many clever and generally awesome people, so you'll learn a huge amount - and have a lot of fun - in the process!
BASIC QUALIFICATIONS
· Bachelor's degree in Computer Science or Software Engineering or in an equivalent discipline.
· 2+ years of software development using Java, C++ or C#.
· Able to operate and lead through ambiguity in a fast paced environment.
· Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences.
PREFERRED QUALIFICATIONS
· Master's degree in Computer Science or Software Engineering.
· Hands-on experience with web frameworks and front-end technologies.
· Hands-on experience with distributed algorithms, recommender systems, and reinforcement learning.
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