AmazonPosted 1mo ago

QAE II, Amazon Payments

QAE II, Amazon Payments at Amazon scores 50 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

IN, KA, Bengalurumidfull-time

AI in this role

lovable

computer-vision

We are looking to hire a Quality Assurance Engineer, responsible for the quality of Amazon Payments.

We are looking for a passionate, experienced QA Engineer to join our team and help us reimagine how to drive quality, testing, and efficiency through our product lifecycle. You are expected to have industry-leading technical abilities that enable you to significantly improve product quality, and a deep curiosity to dive into new technologies. The test plans and automated tests you build should expose defects from component and feature integration level to end-to-end customer interactions. We want a QA engineer excited to work across software, hardware, cloud, algorithms, and computer vision, helping us to deliver exciting new lovable products to market.

As a QAE, you will innovate our QA processes and develop repeatable and automatable QA systems. You will work with Product Managers, QAEs, SDETs, and SDEs on our internal technology teams to understand features and technical implementation. You will identify use cases, create test plans, define test strategies, and create manual and automated test cases in order to report to stakeholders on the quality and reliability of our products. You will leverage and evangelize Gen AI and quality best practices. You will own creating and driving the test strategy and enforcing design for testability.

Key job responsibilities
You will join the team of hands-on, proactive, self-motivated and seasoned software quality assurance professionals. In this role, you will:
* Create test strategies, test plans and test cases
* Review user interfaces for conformity and functionality
* Efficiently execute test cases across all functional areas of our products
* Review product user interface for conformity to design guidelines
* Find, isolate, document, regress and track bugs through resolution
* Interpret and report testing results and be a vocal proponent for quality in every phase of the development process
* Work with software development engineers to understand the overall technical architecture and how each feature is implemented
* Engage in code reviews to ensure testability and unit test designs
* Develop automated tests, scripts, and tools to enable CI/CD

Basic qualifications

- 4+ years of quality assurance engineering experience
- Experience in manual testing
- Experience in automation testing
- Experience scripting or coding
- Experience as QA lead on medium to large sized projects

Preferred qualifications

- Experience with at least one automated test framework like Selenium or Appium
- Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Skills and AI tools this role asks for

Computer VisionLovable

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used Lovable in your day-to-day work.
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

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List these exact terms on your resume: Computer Vision and Lovable. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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