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Migrations and Deprecations
Every infrastructure career contains a migration nobody wanted: the scheduler swap, the driver upgrade across a live fleet, the storage move while training runs are in flight, the deprecation of the launcher every team's scripts depend on. The behavioral round asks about one because it tests the skills that matter most and show least on a résumé: sequencing under risk, keeping a rollback real, moving people who have no reason to move, and knowing when to stop. This page gives the shape of a migration story that lands, two worked narratives from GPU fleet work, and the answers that sound like leadership and fail.
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RELATED CONCEPTS
PRACTICE THIS IN REAL QUESTIONS
Behavioral & OwnershipDescribe a migration nobody wanted. How did you get it done without losing the team's trust?→Behavioral & OwnershipTell me about scaling a system by ten times. What broke, and in what order?→CUDA, Triton & Kernel EngineeringImplement the verification step of speculative decoding, including the rollback of the KV cache after a rejection.→AI Infrastructure System DesignDesign speculative decoding into a production serving fleet: draft placement, acceptance monitoring, and the batch regime where it pays.→GPU Fleet Reliability & ObservabilityError rate on an inference fleet tripled ten minutes after a deploy. What do you do first, and what should have caught it?→Open-Weights Models & Serving EnginesYou have one week to get a newly released trillion-parameter model serving production traffic. Plan it.→
