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Software Engineer Interview Questions

Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.

9403
Questions
546
Companies
11
Topics
8
Languages

Showing 1471–1500 of 2810 results

  • MetaHardSoftware Engineer
    Design input validation and error handling

    A Meta software engineer system design technical screen: design the API and system-level input validation and error-handling strategy for a service that computes the top-k most frequent elements in a posted array. The merged answer covers the request/response contract with a worked example, payload and cardinality limits, layered validation across client, gateway and service, authentication, rate limiting, idempotency, timeouts and retries, the full 4xx/5xx error taxonomy with sample error responses, partial-failure modes, graceful degradation to approximate top-k with stated error bounds, defenses against compression bombs and poisoned payloads, observability, and a test and production monitoring plan.

    System DesignTechnical Screen
  • MetaMediumSoftware Engineer
    Design prefix-sum function and max stack

    This question evaluates understanding of prefix-sum precomputation for constant-time range queries and the design of a max-enabled stack, focusing on data structure design, algorithmic complexity, and space-time trade-offs.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Detect a Contiguous Subarray with a Target Sum

    Determine whether an integer array containing negative values has any nonempty contiguous subarray that equals a target, using prefix sums for a linear-time solution.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Determine feasibility and clean parentheses string

    This problem tests your ability to manipulate string structures using stack-based logic and perform graph-based dependency resolution using topological sort.

    Coding & AlgorithmsTechnical ScreenStringsStackGraphs
  • MetaMediumSoftware Engineer
    Determine if subarray sums to target

    This question evaluates a candidate's ability to reason about contiguous subarray sums, efficient array manipulation, and handling large numeric ranges within algorithmic constraints, and it falls under the Coding & Algorithms domain as a practical algorithmic implementation problem.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Diagnose a Single-Server Crash with Concrete Linux Evidence

    Walk through a single-server crash investigation using Linux service, kernel, memory, disk, and boot evidence while planning safe recovery.

    Software Engineering FundamentalsTechnical Screen
  • MetaMediumSoftware Engineer
    Discuss project pride, conflict, and pivots

    This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Discuss project pride, conflict, and pivots states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Behavioral & LeadershipTechnical Screen
  • MetaMediumSoftware Engineer
    Engineering Manager Behavioral: Spotting and Closing a Skill Gap on Your Team

    An engineering manager behavioral question about realizing that the team lacked a skill it needed. It tests how the gap was noticed and assessed, the trade-offs among training, hiring and borrowing expertise, protecting delivery while people learn, and how the closing of the gap was measured.

    Behavioral & LeadershipTechnical Screen
  • MetaMediumSoftware Engineer
    Engineering Manager Behavioral: Struggling Engineers and Sustained Underperformance

    A two-part engineering manager behavioral question: helping a team member who was struggling, and handling sustained underperformance. It tests early detection, diagnosing causes with the person, tailored support, specific written expectations, a fair process with HR, and a decisive, respectful outcome.

    Behavioral & LeadershipTechnical Screen
  • MetaMediumSoftware Engineer
    Evaluate expression without stack, constant space

    Evaluate expression without stack, constant space evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Explain a recent project and measured impact

    This question evaluates project leadership, technical decision-making, trade-off analysis, cross-functional influence, and the ability to quantify impact with metrics.

    Behavioral & LeadershipTechnical Screen
  • MetaMediumSoftware Engineer
    Explain an AI System You Designed and the Problem It Solved

    Tests your ability to articulate an end-to-end production AI/ML system you designed, detailing the business justification, technical architecture, evaluation strategy, failure modes, and your individual contributions.

    ML System DesignTechnical Screenml-system-designai-architecturemodel-evaluation
  • MetaMediumSoftware Engineer
    Extend a Maze Solver

    This question evaluates algorithmic problem-solving and software engineering skills, specifically graph traversal (BFS), state-space modeling for keys and doors, handling movement constraints, and debugging an existing codebase within the Coding & Algorithms domain.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Fill rooms with nearest gate distances

    This question evaluates grid-based graph traversal and algorithmic problem-solving skills, including concepts such as multi-source breadth-first search, handling sentinel values, and performing in-place updates.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Find K-th Largest and Longest Vacation

    This pair of problems evaluates array manipulation and algorithmic problem-solving skills, specifically order-statistics for selecting the k-th largest element and maximizing consecutive sequences under constrained transformations for the vacation streak problem.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Find Kth Largest and Tree Ancestors

    This question evaluates algorithmic problem-solving and data-structure competencies, focusing on selection algorithms and time/space complexity reasoning for the k-th largest element and tree traversal, lowest common ancestor discovery with attention to BST properties, parent pointers, and external-memory constraints.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Find Shortest Unique Prefixes

    This problem tests your ability to efficiently manage and query prefix-based string sets using a Trie (prefix tree) data structure.

    Coding & AlgorithmsTechnical ScreenTrieStringsData Structures
  • MetaMediumSoftware Engineer
    Find balanced subarray and increasing tree path

    This question evaluates array and tree algorithm skills, testing competency in identifying longest balanced subarrays in binary sequences and locating maximal strictly increasing downward paths in binary trees.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Find k most frequent elements, discuss O(n)

    Find k most frequent elements, discuss O(n) evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Find minimum and most frequent number efficiently

    Find minimum and most frequent number efficiently evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Find mode or minimum with time-space tradeoffs

    This question evaluates algorithm design and analysis skills—particularly time–space tradeoffs, frequency counting techniques (sorting, hashing, and counting arrays), and handling streaming or memory-constrained inputs in the Coding & Algorithms domain.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Find power-of-two subarrays within sum range

    This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Find power-of-two subarrays within sum range states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Find the kth largest element

    This question evaluates a candidate's mastery of finding the k-th largest element using selection algorithms and heap data structures, along with algorithmic time and space complexity analysis and techniques for adapting solutions to streaming inputs.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Group a tree by vertical columns

    This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Group a tree by vertical columns states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Coding & AlgorithmsTechnical Screen
  • MetaHardSoftware Engineer
    Guide a mouse to find cheese with APIs

    This problem tests your ability to navigate an unknown environment by maintaining internal state and implementing an efficient search algorithm to reach a target.

    Coding & AlgorithmsTechnical ScreenGraphDFSBacktracking
  • MetaMediumSoftware Engineer
    Handle palindrome & decimal addition

    This question evaluates string manipulation and numeric representation skills, specifically handling decimal-point addition with arbitrary precision and reasoning about palindrome/permutation properties.

    Coding & AlgorithmsTechnical Screen
  • MetaMediumSoftware Engineer
    Implement an Expiring Record Store

    This question evaluates skills in designing and implementing an in-memory, level-based key-field-value store with lexicographic scanning, time-based versioning, TTL semantics, and efficient mutation operations.

    Coding & AlgorithmsTechnical Screen
  • MetaEasySoftware Engineer
    Implement array parity and tree level views

    This problem tests your ability to handle two distinct sub-tasks: identifying array elements with unique parity and performing a level-order traversal of a binary tree.

    Coding & AlgorithmsTechnical ScreenArraysHash MapsBinary Trees
  • MetaMediumSoftware Engineer
    Implement cd and merge intervals

    This problem tests your ability to manipulate string-based file system paths using a stack-based approach and consolidate overlapping time intervals using sorting.

    Coding & AlgorithmsTechnical ScreenStringsStackSorting
  • MetaMediumSoftware Engineer
    Implement fast power and k-palindrome

    This problem tests your ability to implement binary exponentiation for efficient numerical calculation and dynamic programming for optimal string manipulation.

    Coding & AlgorithmsTechnical ScreenRecursionDynamic ProgrammingMath