Software Development Engineer - Amazon - Seattle - Wizbii

Software Development Engineer

  • Par Amazon
  • Seattle (United States of America)
  • Ingénierie / Gestion de production
2018-10-05T12:40:08+0000

Description de l'offre

DESCRIPTION

Are you fascinated by other languages and cultures? Do you want to work on projects with a global impact? And are you good at finding creative engineering solutions to complex problems? Then this is your chance to combine your passions by helping us extend AWS Cloud Computing to all corners of the globe.

The AWS Localization team makes AWS resources accessible to anyone who needs them in their language and adapted for their culture. But we're much more than translators: since we're a technology company, we push the boundaries to find efficient engineering solutions to localization challenges, such as design and build platforms/tools to automate the localization process and how to design our products to take advantage of that automation platforms. Join us and help extend the AWS Cloud around the world!

AWS is looking for an experienced Software Development Engineer (SDE) with an international mindset, to help us develop new technical approaches to new and old localization challenges. We need someone who can:

· Work TPMs/PM inside the AWS Localization team and our upstream engineering teams to find creative engineering solutions to localization challenges - like how to auto-pilot sending the intended content to the localization production pipeline.
· Design, build, and deploy solutions, and/or work with upstream teams to integrate the solutions with their systems
· Thrive in a dynamic, fast-paced environment with smart, motivated people - who also like to have fun!

Profil recherché

BASIC QUALIFICATIONS

· 3+ years of non-internship professional software development experience.
o Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design.
o 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

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