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Optiver·Software Engineer·Technical Phone Screen·Intermediate

IntermediateRejected
Jun 2026

Summary

Interviewed at Optiver for a software engineering role and got a concurrency-focused coding problem, not a LeetCode-style question. Solved it fine but still didn't move forward because of a background mismatch, which was a bit deflating.

Questions Asked (1)

Q1

Implement two functions for buying and selling stocks that are safe to use in a multi-threaded environment, meaning stocks cannot be oversold. Use locks to handle the concurrency.

System DesignTechnical Trade-offsAlgorithms & Data Structures
Author's notes

Not what I expected going in.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the requirements: two functions (buy and sell) that atomically update a shared stock count, preventing overselling. Then design a solution using a mutex to protect the critical sections, ensuring that the sell operation checks the available quantity before decrementing. Finally, discuss potential optimizations and trade-offs, such as using read-write locks or lock-free approaches.

Pro tip: Mention that you would use a mutex (or read-write lock) to protect the shared state, but also discuss the trade-off between lock granularity and performance, and consider using condition variables to handle waiting when stock is insufficient.

1. Clarify Requirements and Assumptions

Ask whether the stock count is an integer, whether buy and sell are the only operations, and whether blocking or non-blocking behavior is desired when stock is insufficient.

2. Design the Data Structure and Locking Strategy

Propose a shared integer for stock count and a mutex (or read-write lock) to protect it. Explain that all accesses to the stock count must be within a critical section.

3. Implement the Buy and Sell Functions

Write pseudocode for buy (increment stock under lock) and sell (check stock > 0, then decrement under lock). Ensure atomicity by holding the lock for the entire operation.

4. Discuss Edge Cases and Concurrency Issues

Address scenarios like selling when stock is zero, multiple threads contending, and potential deadlocks. Mention using condition variables to wait for stock availability if needed.

5. Evaluate Trade-offs and Optimizations

Compare mutex vs. read-write lock vs. atomic operations. Discuss performance implications and suggest alternatives like lock-free approaches using compare-and-swap if appropriate.

Key Points to Mention

  • Use of mutex (or read-write lock) to protect shared stock count
  • Atomicity of check-then-act (sell must check stock > 0 before decrementing)
  • Condition variables for blocking when stock is insufficient
  • Trade-offs between lock granularity, performance, and complexity
  • Potential for lock-free implementations using atomic operations (e.g., CAS)
  • Testing and validation under concurrent scenarios

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.