Quality Assurance Engineer, Community and Fandom - Music

Amazon is hiring a Quality Assurance Engineer, Community and Fandom - Music in Mexico City, Mexico. 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 Kotlin, iOS and Android 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

Lead QA engineer for Amazon Music surfaces, leveraging AI-assisted testing tooling alongside traditional automation.

KotliniOSAndroidLLM

quality-assurancetest-automationui-testingaccessibilitydebugging

Hundreds of millions of people open Amazon Music to find the artists they love, build playlists that follow them everywhere, and share what they are listening to. The Community & Fandom team owns those social and discovery surfaces, including playlists, artist detail pages, profiles, insights and fan culture features that ship across iOS, Android and Fire Tablet.

We are hiring a Quality Assurance Engineer to help us change how quality gets built here. Our engineering org is moving fast on AI-assisted development, and code generation is no longer the constraint, validation is. That makes this role the leverage point for the entire team, not a downstream checkpoint. You will join at the moment we are doubling QA capacity and rebuilding our approach around automation, so the work you design in your first year becomes the way this org tests for years afterward.

The bugs we care about most are the ones that are hard to find. A playlist that loses a track for one customer in fifty thousand, a race condition that only surfaces on a cold start over a slow network, a memory pattern that degrades after an hour of listening. Finding those before customers do takes engineering judgment, and that is the bar we hire against.

Key job responsibilities
- Own end to end test strategy for features on your surfaces, from test case design through automation coverage and release sign off.
- Build and extend automated UI and integration test suites for Native and shared Kotlin and Compose Multiplatform code running on iOS and Android.
- Work inside our weekly release train, covering branch cut regression, staged rollout validation, and the metrics review that gates dial up to full traffic.
- Investigate low reproduction rate defects using logs, crash and memory telemetry, and weblab side by side comparisons, then turn each finding into a permanent regression test.
- Make accessibility a standing part of feature validation rather than an audit that happens late.
- Partner with our Quality Services team in India, contributing the documented test plans and environments they execute against, and reviewing their results as part of the daily handoff.
- Bring AI-assisted testing into the workflow, using LLM tooling for test case generation, coverage gap analysis, and triage acceleration, and measure whether it actually helps.

A day in the life
You start by reading overnight regression results from the QS team and triaging what changed. A crash signature spiked on the Android beta, so you pull the telemetry, narrow it to a specific playlist size, and reproduce it locally in twenty minutes. You file it with a repro case clear enough that the owning engineer fixes it before lunch. In the afternoon you pair with two SDEs on a new fan culture feature that is a week from branch cut, walking their design for the states nobody thought about yet. You close the day extending the automated suite so the crash you found this morning never ships again.

About the team
Community & Fandom is a mobile and backend org inside Amazon Music Technology. Two of our QAEs are already based in Mexico City, so you will have local peers from day one, and our engineering teams sit in overlapping timezones for real time collaboration. We are growing QA team to help accelerate delivery. We see QA as an integral part of our development flow and we're actively moving to a more deeply integrated QA model.

Basic qualifications

- 2+ years of quality assurance engineering experience
- Experience in automation testing
- Experience in manual testing
- Experience in UI and API automation testing (Selenium/SOAPUI)
- Speak, write, and read fluently in English

Preferred qualifications

- Experience in API & Mobile testing
- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control

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

Quality Assurance Engineer, Community and Fandom - Music 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

Quality Assurance Engineer, Community and Fandom - Music is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in MX, DIF, Mexico City.
The job was posted on September 17, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Quality AssuranceTest AutomationUI TestingAccessibilityDebuggingKotliniOSAndroid

Questions you could be asked

Tell me about a project where quality assurance was part of your work. What did you do?
Tell me about a project where test automation was part of your work. What did you do?
Tell me about a project where ui testing was part of your work. What did you do?
Tell me about a project where accessibility was part of your work. What did you do?
Tell me about a project where debugging was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Quality Assurance, Test Automation, UI Testing, Accessibility, and Debugging. 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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