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Quality Assurance Engineer, Amazon Beauty Tech

Full Time
5 days ago
Job summary
Technology is giving the beauty industry a makeover! Are you interested to disrupt and redefine the way customers buy Beauty products online? Are you interested in using the latest advances in machine learning, computer vision, and big-data technologies to build online customer experiences for Beauty products that can equal or even surpass an in-store experience? Amazon Beauty is reinventing the shopping experience for all beauty customers across the largest selection of brands to become the most trusted beauty destination. Beauty is unique in retail with a diverse customer set along with products that are emotional, fun, and creative. This is your chance to get in on the ground floor to build something entirely new and transform an industry!

To achieve our vision, we think big and tackle technological challenges every day. We need builders and disruptors who are not afraid to innovate! Our architecture and development processes support rapid experimentation, global deployments, and self-service capabilities that allow us to scale better.

We build:
  • Amazon scale systems: All our technology needs to work at Amazon scale, serving millions of customers with millisecond-level latency.
  • Immersive customer experiences: We will create elevated and immersive customer experiences that using cutting-edge UI-technologies and user-centric design patterns.
  • Computer Vision and augmented reality (AR) experiences: We bring exciting experiences directly to the customer's mobile phone using their cameras and combinations of computer vision and AR.
  • Personalization using machine learning: We will be working with machine learning (ML) technologies such as recommendation algorithms and reinforced learning to provide better-personalized shopping experiences.
  • Data & analytics pipelines: Amazon is data-driven, and a robust data backbone is necessary for our systems. We build on core AWS services such as EC2, S3, DynamoDB, SageMaker, StepFunctions, etc.
  • Multi-device support: We build for all traditional surfaces - desktop browsers, mobile browsers, and mobile applications.

Key job responsibilities
We are looking for talented and innovation-driven QA engineers who are passionate about raising the quality bar for beauty products that are powered by cutting-edge technologies. You will have an opportunity to revolutionize the customer shopping experience across the world's most extensive catalog of beauty products. You will be directly responsible for leading the test strategy and launch of innovative software in this domain. You will closely partner with product managers, UX designers, software engineers, applied scientists, and the broader Amazon tech community to drive manual and automated software testing solutions that enhance the beauty shopping experiences. You will help hire, mentor, and develop the best and brightest engineering talent while our organization rapidly continues to expand.

About the team
Amazon Beauty Tech is a rapidly expanding division within the Consumables organization. We are a passionate group of engineers, scientists, product managers, and designers who drive technological innovation to improve the customer shopping experience. We have a startup-like work culture where innovation is encouraged; we are never afraid to propose big ideas for fear of failing!


  • Bachelor's degree in Computer Science or related fields.
  • 3+ years of manual and automated testing experience with web and mobile applications.
  • 2+ years of hands on testing experience on Android and iOS platform.
  • Strong in developing test strategies, test plan and test cases.


  • Experience with black box and white box testing with understanding of/experience with SQA methodologies, techniques and approaches.
  • Experience with different types of testing including regression, performance, stress, unit, API, integration, and security testing.
  • Familiarity with one or more scripting languages.
  • Knowledge of, and experiencing with testing products with machine learning, computer vision, and/or augmented reality components.

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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Software and Programming