Level

Amazon

Quality Engineer-II, Alexa Devices - Product QA

Amazon is hiring a Quality Engineer-II, Alexa Devices - Product QA in Chennai, United States. Level rates it ; you can apply on Level.

AI in this role

Own end-to-end product quality for Alexa devices and design AI-based automation tools and testing frameworks.

quality-assuranceautomation-testingbug-triagepythondebugging
We are seeking a talented QA Engineer to own the quality of new Alexa devices. In this role, you will collaborate with business and technical stakeholders to own the end-to-end product quality of new Alexa devices, from product inception until it reaches the customer's hands. You will design and build AI-based automation tools and frameworks to support new device feature and non-functional testing.

Key job responsibilities
Own end-to-end release quality for assigned new and experimental Alexa devices, from branch cut through WOTA release.

Drive daily BAT execution and weekly regression cycles; analyze results and ensure timely failure resolution.

Triage bugs by severity, track fix versions, and coordinate with development teams to prevent release blockers.

Monitor crash rates and adoption metrics during OTA ramps; escalate anomalies to stakeholders.

Coordinate release sign-off activities, including wiki creation, component POC follow-ups, and GM readiness validation.

Execute weekly beta publishes and validate customer-reported bugs for assigned devices.

Collaborate with feature teams, TPMs, and cross-location PQA teams to drive seamless release execution.

Design and maintain AI-based automation tools and frameworks to improve test coverage and execution efficiency.

About the team
We are a high-performing team of engineers — including SDEs, SDETs, and QAEs — who build and maintain automation frameworks, AI-based testing tools, and lab infrastructure serving the Alexa Product QA needs.

As Alexa's device portfolio expands with new and experimental form factors in 2027, we are extending our charter into Product Quality Assurance (PQA) ownership — taking end-to-end accountability for release quality from branch cut through customer delivery. This is an exciting opportunity to be part of a team that is scaling its impact, operating across time zones to provide round-the-clock quality coverage, and shaping how Alexa's next-generation devices reach customers.

Basic qualifications

- 4+ years of quality assurance engineering experience
- Experience in automation testing
- Experience as QA lead on medium to large sized projects
- Experience coordinating between technical teams, peers and business stakeholders
- Experience working with device technologies under development, familiarity with flashing firmware, basic device debugging and familiarity with reading/pulling device logs, or experience troubleshooting and debugging technical systems

Preferred qualifications

- Experience working closely with development and business teams to communicate problem impacts and to understand business requirements
- Experience in leading/coordinating work for other test teams

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 Engineer-II, Alexa Devices - Product QA at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Quality AssuranceAutomation TestingBug TriagePythonDebugging

Questions you could be asked

  1. Tell me about a project where quality assurance was part of your work. What did you do?
  2. Tell me about a project where automation testing was part of your work. What did you do?
  3. Tell me about a project where bug triage was part of your work. What did you do?
  4. Tell me about a project where python was part of your work. What did you do?
  5. 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, Automation Testing, Bug Triage, Python, 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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