I recently interviewed for a Senior Software Engineer role at JPMorgan Chase. The process had three rounds:
Round 1: Coding
One problem: implement an LRU Cache. The follow-up was to extend it into an LFU Cache. Expect to discuss data structure choices (hash map + doubly linked list for LRU, and frequency buckets for LFU) and to aim for O(1) get and put.
Round 2: System Design
Design ChatGPT. An open-ended question covering how you'd build and serve a large-scale conversational AI product.
Round 3: Behavioral (Hiring Manager)
A behavioral conversation with the hiring manager about past experience and how I work.
Tips: Know LRU/LFU cold, including edge cases and complexity, and be ready to reason about scaling, latency, and serving infrastructure for AI systems.
Good luck to everyone preparing!
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