ADCI
Operations, IT, Support Engineering, alexa and amazon devices
SupportEngineerI,Alexa3PEO
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Support Engineer I, Alexa 3PEO at ADCI. Skills: Conversational AI, Debugging, Root cause analysis. Investigate customer-reported defects. Perform log analysis”
What You'll Achieve.
Improve quality of Alexa+ experiences
Industry & Context.
Troubleshooting; Debugging; Root cause analysis
What They're Looking For.
Must Have
1+ years of software development experience, 1+ years of technical support experience, Experience troubleshooting technical systems, Experience debugging technical systems, Experience scripting in modern program languages
Nice to Have
Experience with prompt engineering for LLMs, Experience with generative AI applications
What You'll Do.
Investigate customer-reported defects
Support issue resolution workflows
Triage incoming tickets
Classify issues by severity
Classify issues by type
Execute debugging playbooks
Resolve known issue patterns
Validate AI monitoring tool outputs
Flag inaccuracies for review
Document investigation findings
Contribute to debugging playbooks
Support CPDR reduction initiatives
Collaborate with Quality Pod members
Communicate technical findings
Track issue resolution
Assist onboarding monitoring runbooks
Identify complex issues
Escalate complex issues
How You'll Work.
Team & Collaboration
Quality Pod members; Senior engineers
Full Job Description
Are you excited about solving technical problems and improving customer experiences through investigation and debugging? The Alexa 3P Experiences Quality Monitoring team is looking for a Support Engineer I to join our team in Bengaluru. In this role, you will investigate customer-reported defects across Alexa+ 3P experiences, perform log analysis to identify root causes, and support issue resolution workflows. You will work alongside senior engineers and AI-powered monitoring tools to ensure quality across Alexa+ experiences, building your technical depth in debugging, root cause analysis, and conversational AI systems. Key job responsibilities Investigate customer-reported defects across Alexa+ 3P Add-ons and skills using debugging tools and service logs. Perform log analysis to identify root causes of technical issues including routing failures, session crashes, and API errors. Triage incoming tickets from the monitoring pipeline, classifying issues by severity and type. Execute debugging playbooks to resolve known issue patterns without external escalation. Validate outputs from AI-powered monitoring tools and flag inaccuracies for review by senior engineers. Document investigation findings and contribute to building reusable debugging playbooks. Support CPDR reduction initiatives by investigating and categorizing defects across 3P experiences. Collaborate with Quality Pod members to communicate technical findings and track issue resolution. Assist in onboarding new monitoring runbooks for AI-powered root cause analysis tools. Identify and escalate complex issues that require deeper code-level investigation to senior Support Engineers. A day in the life You will review AI-generated ticket summaries and monitoring alerts to identify issues requiring investigation. You will follow established debugging playbooks to analyze logs and trace issues to their root cause. You will document your findings, update ticket statuses, and escalate complex issues to senior engine
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