Internship: Software Development Engineer SDE (Luxembourg)
Amazon
Luxembourg, Luxembourg
il y a 1j
source : Wizbii

DESCRIPTION

Amazon's International Technology (INTech) team is seeking experienced Software Development Engineers to build experiences that help customers make confident purchase decisions around 'high-consideration' products typically high-value items that have lengthy purchase and research cycles, such as consumer electronics, home furnishings, and large appliances.

Our work spans a deep technology stack, from front-end mobile apps and website, to back-end web services, and our projects span multiple phases of the customer lifecycle.

As a SDE, you will contribute to all aspects of our agile software development life cycle, including architecture, design, development, testing, and operations, to deliver high performance, scalable, highly available systems.

Your work will have direct impact on our customers worldwide, and will give you visibility to business stakeholders and partner technical teams across Europe, Asia, India and the US.

Our team is based in Luxembourg, at the heart of central Europe. Set among a picturesque background of medieval ruins, Luxembourg City is home to numerous multinational companies, which creates a culturally rich and diverse environment (7 out of 10 residents of Luxembourg City are expats, spanning over 170 different countries), and a high standard of living.

In addition to having three official languages (Luxembourgish, German, and French), English is widely spoken. For those who love to travel, the country is centrally located, making it easy an easy drive or train to Paris, Cologne, and Brussels, and a short flight to other world-class EU cities such as London, Amsterdam, Barcelona, Rome, and Berlin.

PREFERRED QUALIFICATIONS

  • Experience designing large-scale distributed systems, web services, and / or web applications.
  • Proficiency with front-end technologies such as AJAX, jQuery, JSP, React, HTML and CSS.
  • Experience developing mobile application on iOS or Android.
  • Familiarity with machine learning, and techniques for processing large datasets.
  • Full SDLC experience, including DevOps.
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