Instacart Software Engineer interview questions

88 Software Engineers have shared notes from their Instacart interviews, with the questions they were asked in each round. That is 69% of the 128 Instacart interview notes on Screna AI.

88 Software Engineer interview notes

Instacart·Software Engineer·Onsite - System Design / Architecture

Jul 2026
System design round at Instacart for a software engineer role. The whole thing was basically one giant question about inventory management, and they wanted you to go deep on pretty much every layer of the stack. Felt like they were testing whether you could hold a lot of complexity in your head at once without losing the thread.
  • Design a scalable, highly available inventory management system for an e-commerce platform that tracks stock across multiple warehouses, supports Reserve, Release, and Purchase operations, prevents overselling under concurrent load, and can handle flash-sale traffic spikes up to 50k RPS reads and 5k RPS writes.
  • How would you handle consistency trade-offs in this system, specifically when to use strong consistency versus eventual consistency and why?
  • Walk through your strategy for preventing race conditions when multiple concurrent requests try to reserve the same inventory item.
  • How would you design the caching layer for product availability reads, and how would you handle cache invalidation?
  • How would you ensure idempotency for the Reserve, Release, and Purchase APIs and provide at-least-once delivery semantics for order events?
  • Describe your approach to scaling the write path, including sharding, write queues, and CQRS if applicable.
  • How would you handle partial failures and retries across this system, and how do you achieve exactly-once semantics at critical boundaries?
  • What observability strategy would you put in place for this system, and how would you approach disaster recovery and multi-region deployment?

“This was the whole interview.”

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Instacart·Software Engineer·Onsite - System Design / Architecture

Jul 2026
System design round at Instacart for a software engineering role. The whole session was basically one giant design problem broken into layers, and they kept pushing deeper on every answer I gave. Felt like I was treading water by the end.
  • Design a multi-tenant cloud storage service that supports uploading, retrieving, and copying files. How would you define the APIs, and what copy semantics would you use (server-side copy, deep copy, copy-on-write)? How does metadata and permissions propagation work across copies?
  • How would you handle per-user storage quotas and tiered capacity limits? Walk through quota accounting, how you enforce limits at upload time, and how copies and compressed files count toward a user's quota.
  • How would you implement file compression on upload and decompression on download? Which algorithms would you choose, where in the data path does compression happen, and what are the trade-offs between CPU cost, latency, and storage savings?
  • How do you ensure durability, availability, scalability, and consistency in this storage system? Describe the components you'd use, how you'd partition and replicate data, and how you'd handle failures and background recovery tasks.
  • How would you approach security, auditing, versioning, and monitoring for this service? Propose specific APIs or methods for each and describe how you'd test them.

“Started okay with the basic CRUD APIs but the copy semantics part tripped me up.”

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Instacart·Software Engineer·Technical Phone Screen

Jul 2026
Instacart software engineer interview with a meaty data structures problem that had me thinking about tries for way longer than I expected. The complexity analysis portion caught me a bit flat-footed.
  • Design a data structure with an add(name) method and a find(prefix, suffix) method that returns all stored file names matching both a given prefix and suffix, in lexicographic order. Discuss time and space complexity and compare approaches like dual tries, suffix automata, and inverted indexes. Assume up to 100,000 insertions and frequent queries.

“I went straight for the two-trie approach: one trie for prefixes, one for reversed strings to handle suffixes, then intersect the result sets.”

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Instacart·Software Engineer·Onsite - System Design / Architecture

Jul 2026
Instacart software engineer interview with a deep-dive project question that basically asks you to narrate your entire engineering career in one answer. Heavy on architecture, trade-offs, and postmortem thinking.
  • Walk me through the most complex end-to-end project you led or meaningfully contributed to, covering the problem scope, architecture decisions, trade-offs you made, how you worked with other teams, how you handled risk, how you measured success, and what you'd do differently.

“This question is a beast.”

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Instacart·Software Engineer·Technical Phone Screen

Jul 2026
Instacart coding screen focused on extending a task manager system, which sounds simple but required thinking carefully about state management and sorted output. Pretty standard technical phone screen format.
  • Given an existing task manager, add an updateTaskPriority(task_id, delta) method and a getSortedPrioritizedTasks() method that returns tasks ordered by priority, where each task starts at priority 0.

“The delta part tripped me up more than I expected.”

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Instacart·Software Engineer·Technical Phone Screen

Jul 2026
SQL interview at Instacart for a software engineer role. Two related food delivery problems back to back, the second being a harder extension of the first.
  • Write an SQL query to find the percentage of orders where the customer's preferred delivery date matches the order date (same-day orders), rounded to two decimal places.
  • Extend the previous query: for each customer, identify their very first order, then compute the percentage of customers whose first order was a same-day delivery.

“Pretty standard aggregation query.”

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Instacart·Software Engineer·Technical Phone Screen

Jul 2026
Instacart software engineer round that was basically one big coding and design question wrapped together. The problem sounded like a data wrangling exercise but they kept pushing on edge cases and scalability until it felt like a system design conversation.
  • Given a list of records each containing a date string, store ID, a metric name, and a value, write code to pivot the data so each (store, date) pair becomes one row with columns for sales, refunds, and visits. Missing metrics should default to 0, rows should be sorted by date ascending per store, and you cannot use any date or time libraries.
  • How would you handle malformed date strings, duplicate entries for the same store, date, and metric combination, and inputs too large to fit in memory?

“The no-date-library constraint is where I almost tripped myself up.”

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Instacart·Software Engineer·Technical Phone Screen

Jul 2026
Got a coding question at Instacart that looked simple on the surface but had enough edge cases to make you second-guess yourself the whole way through.
  • Given a log of worker entry and exit events, implement a method that returns all intervals during which the worker was present in the office.

“Spent the first few minutes just thinking about what the input actually looked like.”

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Instacart·Software Engineer·Technical Phone Screen

Jul 2026
Debugging round at Instacart for a software engineering role. One question, one bug, pretty contained scope but the detail that tripped people up was subtle enough that I can see why it makes a good filter.
  • You're given a function that should return an athlete's personal best score across completed attempts of an event. A test expects 17 but the function returns 13. Find the bug and fix it.

“The fix itself is one line basically, but I spent way too long staring at the score comparison logic before I even thought to check whether the function was filtering on attempt status.”

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Instacart·Software Engineer·Technical Phone Screen

Jun 2026
Instacart backend coding screen, pretty focused on interval math and salary computation. Nothing crazy but the follow-up on complexity tripped me up a bit.
  • You have a list of workers, each with an hourly rate and a set of work intervals. Given a worker ID and a time range, compute the total salary earned within that range by summing the pay for each interval's overlap with the query window.

“I got the core logic down pretty quickly, just clamp each interval to the query bounds and accumulate.”

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