ADCI

Operations, IT, Support Engineering, alexa and amazon devices

SupportEngineerI,Alexa3PEO

₹8–11L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Operations, IT, Support Engineering, alexa and amazon devices
Problems you'll solve

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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