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Omnissa·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jul 2026

Summary

Interviewed for a Software Engineer role at Omnissa and got a string manipulation problem that looks deceptively simple until you realize the naive approach will time out on large inputs. The key insight is stack-based and once it clicked the implementation was pretty clean.

Questions Asked (1)

Q1

Given a string of lowercase letters, repeatedly remove pairs of adjacent identical characters until no such pairs remain. Return the final string.

Algorithms & Data Structures
Author's notes

My first instinct was to just loop and scan repeatedly until nothing changed, which works but is obviously O(n^2) and they pushed back immediately when I mentioned the string could be up to 100k chars.

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AI HintsAI Generated

Suggested Approach

Clarify the problem and edge cases, then propose an efficient stack-based solution that processes the string in one pass. Explain how the stack naturally handles adjacent duplicates and demonstrate with a small example before coding.

Pro tip: Mention that a stack is ideal because it mirrors the recursive removal process, and note that the solution runs in O(n) time and O(n) space. Also, discuss how to handle the final string construction efficiently.

1. Understand the problem

Restate the problem in your own words and confirm details: only lowercase letters, remove adjacent identical pairs repeatedly until no such pairs remain. Ask clarifying questions if needed.

2. Identify the optimal approach

Recognize that a stack can efficiently simulate the removal process. As you iterate through the string, compare the current character with the top of the stack; if they match, pop; otherwise, push.

3. Walk through an example

Trace the algorithm on a small example like 'abbaca' to demonstrate correctness and build intuition. Show how the stack evolves and the final result is obtained.

4. Analyze complexity

State that the time complexity is O(n) because each character is pushed and popped at most once, and space complexity is O(n) for the stack in the worst case.

5. Implement and test

Write clean code, handle edge cases (empty string, no removals, all removals), and test with a few examples. Discuss potential optimizations or alternative approaches if relevant.

Key Points to Mention

  • Stack data structure for O(n) time complexity
  • Single pass through the string
  • Handling edge cases: empty string, no adjacent duplicates, all characters removed
  • Comparison of current character with stack top
  • Final string construction from stack
  • Space-time tradeoff and potential for in-place modification if allowed

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