Amazon Web Services, Inc.

Localization Engineering Manager, Training and Certification

Amazon Web Services, Inc.

April 24, 2021

  • Bachelor's degree in Computer Science, Engineering or related field; or 7 years’ relevant work experience in a localization-related field
  • Minimum 7+ years of experience in release engineering or similar support roles.
  • 5+ years of professional working experience with localization engineering.
Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. These organizations need individuals with cloud skills to help transform their business. At AWS Training and Certification (T&C), we are passionate about revolutionizing the way people advance their cloud IT skills and careers. You are someone who will roll up your sleeves, dive deep, learn the business, and have experience with localization methods, processes, and tools.
We need an experienced Localization Engineering Manager to mature and scale localization capabilities across a catalog of thousands of learning products and provide customers the right experience in their native language. The role sits within the Learning Products team and is the owner defining technical strategy, identifying and deploying mechanisms to raise the bar on automation, tools development, and machine learning. The ideal candidate has a passion for training and education, be data-driven and have a strong understanding of KPIs, who can demonstrate teamwork, relationship building, and delivering results.
Responsibilties:
  • Manage a localization engineering team of 3+ localization engineers
  • Work on engineering and technical initiatives for release & localization such as automation, enhancements and building new tools.
  • Troubleshoot problems in the localization process, identifying and creating solutions, and creating or adapting tools to facilitate and streamline the localization process.
  • Participate in the global release of high quality products; certify the overall quality and ensure each release is ready to ship.
  • Work closely with product development teams to identify, prioritize, and ensure key issues are fixed for a release
  • Support internal and external customers in addressing issues related to released software
  • Work with cross-functional partners, such as Curriculum Engineering & infrastructure.
  • Working with localization manager on translation requirements.
  • Be a key advocate and support for Change Management and Best Practices throughout the organization
This role can be performed near any US AWS office in the following cities: Arlington, Atlanta, Austin, Ballston, Boston, Chicago, Cupertino, Dallas, Denver, Detroit, East Palo Alto, Herndon, Houston, Irvine, Minneapolis, New York City, Pittsburgh, Portland, San Diego, San Francisco, Seattle, Washington D.C., Tempe, Sunnyvale, or Santa Monica.
The pay range for this position in Colorado is $116,400 - $160,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
  • 3+ years’ experience managing a team of engineers or technical specialists
  • Hands-on experience with content localization systems/platforms
  • Technical knowledge of translation management and content management systems.
  • Analyze, create, and test data driven scalable solutions to impact daily workflow processes.
  • Excellent English-language communication skills, both written and verbal.
  • Working knowledge of a second, non-English language
  • Experience with one or more programming and scripting languages, experience with automation
  • Experience with machine learning
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.