Instacart Interview Question Bank
Instacart's recent SWE loop is dominated by CodeSignal-style practical coding: in-memory databases, worker/task trackers, expression parsing, file I/O, and product/inventory consistency. Senior loops now commonly split the onsite into two phases: two coding rounds plus a Karat AI codebase round first, then system design and project deep-dive if the first phase clears. MLE loops keep the same practical coding bar but add a fundamentals-heavy ML concept screen.
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Evaluate Variable Assignments with Dependencies and CyclesSort Products by Aisle and Frozen StatusChoose the Cheapest SKU PromotionAggregate SKU Order Quantities and PricesEvaluate Variables from Ordered Assignment EquationsEvaluate Variable AssignmentsCalculate the Lowest Price with DiscountsLibrary Item Search and Multi-Filter APIEvaluate Division / Calculate EquationCalculate Total Price of Shopping Cart ItemsSort Shopping Items by Aisle with Frozen Items LastShopping Cart Total with Invalid Item FilteringCalculate Inventory Total CostBanking System with Accounts, Transfers, Top Activity, and MergeDesign and Implement Idempotent Library Notifications for Due Dates and HoldsFix Incorrect Metrics Caused by Applying Filters After AggregationImplement Search and Filter UI for a Library Management TableFix Backend Filtering for Book Search ResultsIdempotent Library Notifications for Due Loans and FIFO HoldsFilter a Long Table with Two Dropdowns and a Text Search BoxFind Minimal ShoppersDecode PasswordDesign an In-Memory Database with Field-Level TTL, Prefix Scan, and Backup/RestoreCount Subarrays With Alternating Parity (Odd/Even) Including NegativesFlip Inner Segment If String Starts and Ends With VowelsCompute counts on nested maps (Level 1/Level 2 aggregation)Bus Boarding Simulation (Priority + Wheelchair Capacity)Evaluate an Arithmetic ExpressionDecode an Encoded StringIn-Memory Database with Backup and Restore