Support Engineer II, Alexa 3PEO
Job Summary
In this role you will serve as a Technical Specialist for Quality Monitoring of Alexa 3P Add-ons and skills. You will conduct technical root cause analysis requiring code-level understanding resolve technical issues without external escalation and document recurring patterns to create debugging playbooks. You will work at the intersection of AI-powered monitoring tools and human expertise helping drive measurable improvements in customer experience quality across Alexa experiences globally.
Key job responsibilities
Conduct technical root cause analysis of customer-reported defects requiring code-level understanding across Alexa 3P Add-ons and skills
Perform log analysis and cross-locale pattern identification to diagnose issues across multiple endpoints (Display Headless Fire TV Mobile Metis)
Resolve technical issues without external escalation by leveraging debugging tools including APD (Alexa Debugger) and service logs (LLM trace Atocha)
Document recurring patterns and create debugging playbooks that serve as references for both human operators and AI agents
Partner with QAEs for tooling optimization and with Engineering teams on complex technical issues
Investigate and triage tickets from the RAB (Report-a-Bug) pipeline identifying root causes across NER/TLN routing failures session crashes and API integration issues
Validate outputs from AI-powered monitoring tools (First Responder Agent IntelliOps TARS) and serve as escalation point when AI agents fail
Contribute to CPDR reduction initiatives by providing technical insights for fix prioritization
Support Bug Fixing Agent (BFA) pilot initiatives by evaluating root-cause accuracy and providing domain-specific feedback
Collaborate with cross-functional teams (Product Program Engineering QA) within Quality Pods to drive issue resolution
A day in the life
You will start your day reviewing automated monitoring alerts and AI-generated ticket summaries from our GenAI tools. You will deep-dive into escalated tickets that require code-level investigation analyzing LLM traces and service logs to identify root causes. You will collaborate with Quality Pod members across Product Engineering and QA to communicate findings and drive fixes. You will document investigation patterns into reusable playbooks audit AI agent outputs for accuracy and contribute to reducing manual investigation effort through process improvements. Your work directly impacts millions of Alexa customers by ensuring 3P experiences meet quality standards.
About the team
The Alexa 3P Experiences Quality Monitoring team tracks post-launch quality for all 3P Add-ons and skills on Alexa. We operate an automation-first human-guided model that proactively detects poor customer experiences at scale and drives issue resolution. Our team leverages GenAI solutions including automated ticket summarization and root-cause analysis tools to monitor experiences across multiple locales. We are on a journey from manual operations to AI-enabled human operations at scale.
- 2 years of software development or 2 years of technical support experience
- Bachelors degree in engineering or equivalent
- Experience troubleshooting and debugging technical systems
- Experience scripting in modern program languages
- Experience with AWS networks and operating systems
- Experience with prompt engineering for large language models (LLMs) or generative AI applications.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
About Company
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