Offers “Amazon”

26 days ago Amazon

Quality Assurance Engineer

  • Internship
  • Seattle ( King )

Job description



DESCRIPTION

Would you like to be a part of a technology team that enables one of the most profitable businesses at Amazon.com?
The Amazon Payments Products team is responsible for developing the platform and applications used to introduce new and innovative payment methods to customers as well as support Amazon's global CoBrand and Private label credit cards along with the world's largest rewards catalog, Shop with Points. This team helps Amazon expand globally by providing platform for FX (Foreign Exchange) and enabling payments in multiple currencies.

We are looking for talented, detail oriented and enthusiastic Quality Assurance Engineer (QAE) to join the team who can own the project end to end testing process

You must be able to understand software internals, debug problems complex problems including performance bottlenecks, and write automated tests. QA Engineers work with Software Development Engineers, and Business Owners to understand business drivers and technical implementation of features. QA Engineers also work with groups such as Product Management, User Interaction, and Customer Support to understand customer usage models and develop test plans and suites that approximate real-world environments and regression tests. You must have experience in diagnosing project release problems and taking corrective action, such as escalating as needed, to resolve and achieve results. Our QAEs are also responsible for driving our software development process toward quality-centric methodologies and for reporting on test progress, metrics, issues and risks.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Ideal candidate profile



BASIC QUALIFICATIONS

· Three years of experience in software quality assurance testing
· Experience with C/C++, Perl, and/or Java in UNIX environment
· A bachelor's degree in Computer Science or equivalent experience