Amazon
Mid
Build GenAI-powered alarm triage systems for AWS data center infrastructure
SDE II on the SKG team within AWS DC BRIDGE, building the Data Center Alarming Platform: suppression/correlation/dedup logic across hundreds of data centers and Bedrock-based integrations for natural-language alarm summarization and triage. Primary stack is TypeScript (CDK/services) and Python (data processing, Lambda, AI integration); role includes owning features end-to-end and mentoring SDE1s.
Step into this interview
Free · a live voice mock calibrated to this exact role
Likely format
Amazon SDE loop: phone screen (coding + LP behavioral) followed by onsite/virtual rounds mixing coding, system design, and Leadership Principles behavioral interviews, plus a bar raiser round.
What this interview tests
- Alarm correlation, suppression, and deduplication at scale
- Applied integration of GenAI/Bedrock into production triage workflows
- Infrastructure as code with AWS CDK (TypeScript)
- End-to-end feature ownership: design, code, test, deploy, operate
- Mentoring SDE1s and driving design reviews
Common question themes
Design a system to correlate/deduplicate alarms across hundreds of data centers
How would you integrate a Bedrock/LLM call into a production triage pipeline and validate its output
Tell me about a feature you owned end-to-end, from design to production operation
Describe a design review where your proposal changed the team's direction
How have you mentored a junior engineer through code review or pairing
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