Chime Software Engineer interview questions

12 Software Engineers have shared notes from their Chime interviews, with the questions they were asked in each round. That is 43% of the 28 Chime interview notes on Screna AI.

12 Software Engineer interview notes

Chime·Software Engineer·Onsite - System Design / Architecture

Jul 2026
System design round at Chime for a software engineering role. The whole thing was a single extended problem about evolving a browser history structure to support multiple tabs, which sounds manageable until you're 20 minutes in and someone asks about concurrent tab access.
  • Design a multi-tab browser history system. You need to define the API (openTab, closeTab, switchTab, visit, back, forward, and optionally haveVisited) and choose appropriate data structures to back it.
  • How would you manage the collection of tabs themselves? Walk through the tradeoffs between using a map versus a list, and how that affects memory and operation complexity.
  • If multiple tabs can operate concurrently, how do you handle thread safety? What locking or immutability strategies would you consider?
  • How would history capping or eviction policies affect the behavior of haveVisited, especially if you're tracking visited URLs across tabs?

“I started with the per-tab history piece since that felt familiar, basically a doubly-linked list or two stacks approach.”

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Chime·Software Engineer·Onsite - System Design / Architecture

Jun 2026
Chime system design round for a software engineer role. Three big topics back to back: load balancing, caching, and idempotency. The idempotency section was where things got interesting and a little uncomfortable.
  • What is a load balancer and why do we use one? Walk through the common routing policies and compare them.
  • What's the difference between L4 and L7 load balancing, and when would you choose one over the other?
  • Where in the stack can you apply caching, and what are the tradeoffs at each layer?
  • Explain cache read and write patterns. When would you use cache-aside versus write-through versus write-back?
  • How do you handle cache invalidation, TTL strategy, and dealing with stale data?
  • How would you prevent a cache stampede or thundering herd problem?
  • Design a system that supports idempotent API requests. Walk through the full design including key structure, storage, concurrency, and how it holds up across retries and partial failures.

“Covered the basics fine.”

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Chime·Software Engineer·Technical Phone Screen

Jun 2026
Backend engineering screen at Chime covering some pretty meaty conceptual territory. Three questions, all technical, no behavioral fluff. The kind of round where you can tell they actually want to see how you think rather than just pattern-match buzzwords.
  • What's the difference between synchronous and asynchronous execution, and how does that relate to blocking vs non-blocking I/O? Give examples from a backend service.
  • Walk me through Go's concurrency model, then compare using channels versus shared memory with locks. When would you use each, and what pitfalls should you watch out for?
  • Compare SQL and NoSQL databases. Cover data modeling, transactions, scaling, and operational complexity, and give examples of when you'd strongly prefer one over the other.

“I started fine on sync vs async but fumbled the blocking/non-blocking distinction a bit.”

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Chime·Software Engineer·Technical Phone Screen

Jun 2026
Chime software engineer interview with a pretty clever string/number puzzle that had two parts. The second part is where things get interesting and a bit annoying.
  • You're given an integer n and a digit string formed by concatenating the numbers 1 through n in order, but one number k is missing. Part A: find k when the order is preserved. Part B: find k when the digits are shuffled into arbitrary order. No delimiters between numbers. Walk through your approach and complexity for both parts.

“Part A felt manageable pretty quickly.”

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Chime·Software Engineer·Onsite - System Design / Architecture

Jun 2026
System design round at Chime for a software engineer role, focused entirely on mobile check deposit. The scope was massive and I don't think I covered even half of it well.
  • Design a mobile check deposit system for a consumer banking app, covering the full stack from image capture on-device through core banking integration.
  • How would you handle duplicate check detection across multiple users and devices?
  • What does the deposit status lifecycle look like, and how do you keep users informed at each stage?
  • How would you design the image preprocessing pipeline, including handling glare, blur, and perspective distortion?
  • How do you make the check submission API idempotent, and how do retries and dead-letter queues factor into the overall reliability model?
  • What are the key non-functional requirements for this system, and how do you think about availability versus consistency tradeoffs?
  • How would you handle fraud prevention and risk scoring for deposited checks?
  • How would you approach testing this system, including sandbox environments, golden datasets, and canary releases?

“I started with the image capture flow because it felt concrete, but I spent way too long on the UX guidance stuff and never really got to the risk scoring or duplicate detection in any meaningful depth.”

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Chime·Software Engineer·Onsite - System Design / Architecture

May 2026
Chime system design round, one big question about idempotent request handling. Pretty deep dive, covers a lot of ground for a single question.
  • Design a system that handles idempotent request processing, so clients can safely retry operations like payments or order placements without causing duplicate side effects. Walk through idempotency keys, dedup storage, TTL, response replay, and how you'd handle ordering and concurrency.

“This one is more layered than it looks.”

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Chime·Software Engineer·Technical Phone Screen

May 2026
Chime SWE interview had me working through a classic scheduling problem. The question was well-formed but the depth they wanted around correctness justification and complexity analysis caught me a bit off guard.
  • Given a multiset of tasks (labeled by type) where each task takes 1 time unit and the same task type must have at least c idle units between executions, find the minimum total time to complete all tasks. You can reorder tasks and insert idle slots. Describe your algorithm, argue why it's correct, analyze time and space complexity, and walk through how to build an actual valid schedule.

“I knew the greedy approach from having seen it before: always schedule the most frequent remaining task type, fill the rest of the cooldown window with other types or idle.”

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Chime·Software Engineer·Onsite - System Design / Architecture

May 2026
Chime system design round, went pretty deep on database fundamentals. The whole conversation basically lived inside the SQL vs NoSQL space which I wasn't expecting to be the entire focus.
  • Walk me through the key differences between SQL and NoSQL databases, covering schema design, consistency models, scaling approaches, and when you'd pick one over the other.

“This sounds broad but they kept drilling down.”

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Chime·Software Engineer·Technical Phone Screen

May 2026
Chime SWE interview had me implementing a full board game engine from scratch. The rules for toppling and capture mechanics were dense enough that I spent the first ten minutes just re-reading the spec. Solid problem if you like simulation puzzles, rough if you don't.
  • Implement a function that takes a board size N (3 to 9) and a list of move strings, then returns whether the game is still in progress or which player has won. Moves are either Place (add a piece to a cell) or Topple (redistribute a stack in a direction), with capture rules and turn-alternation logic baked in.

“The spec was long.”

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Chime·Software Engineer·Technical Phone Screen

May 2026
Chime backend interview that went deep on Go concurrency. One question but it had a lot of surface area and I felt like I was playing catch-up the whole time.
  • Compare Go's channel-based concurrency model with traditional shared-memory and locks. Cover CSP semantics, goroutines, buffered vs unbuffered channels, select, pitfalls of each approach, and when you'd choose one over the other.

“This question is wider than it looks.”

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