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Meta·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Apr 2026

Summary

Did a technical screen at Meta centered on validating Bitcoin transactions. Not a ton of context to go on, but it was clearly a coding-focused session.

Questions Asked (1)

Q1

Given a set of Bitcoin transactions, write a function to validate them according to standard transaction rules.

Algorithms & Data StructuresSystem DesignTechnical Trade-offs
Author's notes

This is the kind of problem that looks straightforward until you start thinking about what 'valid' actually means in a blockchain context.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the scope: which standard transaction rules (e.g., Bitcoin Core's CheckTransaction) and whether to include script validation or just structural checks. Then outline a modular validation function that checks each rule in order, returning specific errors, and discuss trade-offs like performance and extensibility.

Pro tip: Mention that you'd separate consensus-critical checks from policy checks, and that in a real system you'd use a library like Bitcoin Core's validation code rather than reimplementing it, but for the interview you'll focus on the core logic.

1. Clarify requirements and assumptions

Ask which rules to enforce (e.g., no double-spends, valid signatures, output values in range) and whether the function operates on raw transactions or a blockchain context. State assumptions clearly.

2. Define the validation rules

List the standard checks: non-empty inputs/outputs, output values non-negative and within max money, no duplicate inputs, script validation (if required), and proper locking/unlocking script execution.

3. Design the function structure

Propose a function that takes a transaction and optional context (e.g., UTXO set) and returns a boolean or error. Iterate through checks in a logical order, short-circuiting on failure.

4. Discuss implementation details and trade-offs

Explain how to handle script validation (e.g., using a script interpreter), performance considerations (e.g., caching, parallel validation), and extensibility for new rules.

5. Test and edge cases

Mention testing with malformed transactions, boundary values, and consensus-critical scenarios. Highlight the importance of fuzz testing and formal verification for security.

Key Points to Mention

  • Consensus vs. policy rules: distinguish between rules that all nodes must enforce and those that are node-specific.
  • Double-spend prevention: check that inputs are unique and refer to unspent outputs.
  • Value checks: ensure output values are non-negative, within max supply, and sum of outputs ≤ sum of inputs (minus fees).
  • Script validation: explain how locking and unlocking scripts are executed and the role of opcodes.
  • Performance: consider batch validation, parallelization, and caching of script results.
  • Security: mention common pitfalls like integer overflow, malleability, and denial-of-service vectors.

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