Amazon
Mid
Build voice-first, personalized in-car experiences for Amazon Smart Vehicles
This SDE II role sits on Amazon's Smart Vehicles team building intelligent, voice-first automotive experiences, plus related work on Web Player/video playback analytics (Alexa Echo Show, Prime Video). The JD asks for 3+ years of professional software development and 2+ years designing/architecting systems, with explicit expectation of hands-on GenAI tool usage. Good fit for a mid-level engineer comfortable with ambiguity, Agile delivery, and system design (HLD/LLD).
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What this interview tests
- System design (HLD/LLD) for scalable services
- Voice-first / personalized UX for embedded or vehicle contexts
- Code quality: secure, testable, maintainable, extensible code and peer review
- Agile/Scrum delivery with cross-functional product/UX partners
- Hands-on GenAI tool and agent usage for engineering velocity
- Operational excellence: dashboards, monitoring, pipeline/service health
Common question themes
Walk me through a system design (HLD/LLD) you've built and the scaling tradeoffs you made
Tell me about a time you tackled an ambiguous problem with no clear requirements
How do you approach peer code review, both giving and receiving feedback?
Describe partnering with product management and UX to ship a customer-facing feature
How have you used GenAI tools or agents to improve your development velocity?
How have you owned monitoring/dashboards to drive operational efficiency?
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