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AT&T·Software Engineer·Onsite - System Design / Architecture·Intermediate

Intermediate
May 2026

Summary

System design round for a software engineer role, one question the whole time. Pretty focused session, no fluff.

Questions Asked (1)

Q1

Design a system that assigns server numbers to incoming server requests, supports efficient allocation and deallocation, and maintains separate number pools per server type.

System DesignAlgorithms & Data StructuresTechnical Trade-offs
Author's notes

My first instinct was a simple incrementing counter and i ran with it for a bit before they nudged me toward deallocation.

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AI HintsAI Generated

Suggested Approach

Start by clarifying requirements: what is a server number, how many server types, expected request rate, and constraints on number reuse. Then propose a design using separate pools per server type, each implemented with a min-heap or a free-list for efficient allocation and deallocation, and discuss trade-offs between different data structures.

Pro tip: Mention that you would use a min-heap to always allocate the smallest available number, which helps with predictability and debugging, and that you would consider a bitset for dense pools to save memory and improve cache performance.

1. Clarify Requirements

Ask about the definition of server numbers, the number of server types, expected scale, and whether numbers should be reused or monotonically increasing. Also clarify concurrency and persistence needs.

2. Design Data Structures

Propose a separate pool per server type. For each pool, use a min-heap of available numbers for O(log n) allocation and deallocation, or a free-list with a stack for O(1) if order doesn't matter. Discuss memory vs speed trade-offs.

3. Handle Allocation and Deallocation

Describe the allocate operation: pop from the heap (or pop from stack) and assign to request. For deallocate, push the number back. Ensure thread safety with locks or lock-free structures if needed.

4. Address Scalability and Concurrency

Discuss partitioning pools by server type and possibly sharding further. Mention using concurrent data structures or per-thread pools to reduce contention. Consider persistence for recovery.

5. Evaluate Trade-offs and Extensions

Compare min-heap vs bitset vs free-list in terms of time/space complexity. Discuss handling of number exhaustion, dynamic pool resizing, and monitoring.

Key Points to Mention

  • Separate pools per server type to isolate allocation and avoid interference.
  • Use a min-heap for O(log n) allocation/deallocation and to always assign the smallest available number.
  • Consider a bitset for dense pools to achieve O(1) allocation with low memory overhead.
  • Ensure thread safety with locks or lock-free data structures for concurrent requests.
  • Discuss trade-offs: min-heap vs free-list vs bitset in terms of time, space, and predictability.
  • Handle edge cases: pool exhaustion, dynamic resizing, and persistence for recovery.

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