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QAE II, Amazon Payments

Amazon is hiring a QAE II, Amazon Payments in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
  • The posting mentions Lovable, CI/CD and computer vision among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Drive quality and test automation for Amazon Payments while leveraging generative AI tools in testing workflows.

LovableCI/CD
computer-visionquality-assurancetest-automationmanual-testinggen-aiscripting
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.

How we rate this

QAE II, Amazon Payments at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionQuality AssuranceTest AutomationManual TestingGen AIScriptingLovableCI/CD

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where quality assurance was part of your work. What did you do?
  3. Tell me about a project where test automation was part of your work. What did you do?
  4. Tell me about a project where manual testing was part of your work. What did you do?
  5. Tell me about a project where gen ai was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Computer vision, Quality Assurance, Test Automation, Manual Testing, and Gen AI. 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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