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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.
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Showing 1441–1470 of 2810 results
- MetaMediumSoftware EngineerCompute binary tree diameter
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Compute binary tree diameter states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerCompute interval mode, BST range sum, exclusive time
This multipart question evaluates proficiency in interval coverage and frequency analysis, binary search tree range-sum queries with preprocessing for repeated queries, and exclusive-time computation from call logs, covering concepts such as event counting/sweep-line, BST traversal and augmentation, and nested-call time accounting.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerCompute left and right views once
This question evaluates understanding of binary tree traversal, depth tracking, and view computation for left and right perspectives, plus the ability to implement a concurrent single-pass traversal while handling edge cases such as empty trees and duplicate keys.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerCompute longest increasing path in a matrix
Compute longest increasing path in a matrix 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 EngineerCompute longest rising path in a grid
This question evaluates mastery of graph traversal, dynamic programming, and complexity analysis for computing longest increasing paths in a matrix, focusing on algorithmic correctness and efficient use of time and space.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerCompute max profit from single stock trade
This question evaluates a candidate's ability to design efficient array algorithms, reason about time and space complexity constraints, and handle edge cases related to single-transaction profit calculation.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerCompute nested depth-weighted sum
This question evaluates understanding of tree-like nested data structures, traversal strategies (recursive DFS and iterative approaches), handling of edge cases such as empty lists and negative integers, and algorithmic reasoning about time and space complexity within the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerCompute sparse dot product and count islands
This question evaluates competency in designing efficient algorithms for sparse data representations and for identifying connected components in grids, testing skills in handling large inputs, memory-efficient representations, and traversal/graph concepts.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerCompute vertical order of a BST
This question evaluates understanding of binary tree traversals and coordinate-based ordering, including tie-breaking by breadth-first visitation order, plus competency in algorithmic time and space complexity analysis and strategies for handling deep recursion and streaming large inputs.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerCompute weighted sum of nested lists
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Compute weighted sum of nested lists states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerConvert BST to sorted doubly list
This question evaluates understanding of binary search tree properties, in-order traversal, in-place pointer manipulation, and algorithmic complexity when converting tree nodes into a sorted doubly linked list.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerCount palindrome substrings in a string
This question evaluates proficiency in string algorithms, algorithmic design, and complexity analysis by targeting palindromic substring counting, string manipulation, and conceptual linear-time techniques.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerCount subarrays equal to target
This problem tests your ability to use a hash map to track prefix sums, allowing for an efficient solution to a subarray counting problem.
Coding & AlgorithmsTechnical ScreenArrayHash MapPrefix Sum - MetaMediumSoftware EngineerCount subarrays summing to target
This question evaluates understanding of prefix-sum concepts, use of linear-time data structures, and competence in handling negative numbers and edge cases such as zero targets and empty prefixes.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerDebug and optimize React performance issues
This interview question evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer for Debug and optimize React performance issues states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignTechnical Screen - MetaMediumSoftware EngineerDecide palindrome within k deletions
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Decide palindrome within k deletions states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerDerive max distinct frequencies for n items
The question evaluates combinatorial reasoning, discrete mathematics, and constructive extremal analysis by asking for the maximum number of distinct frequency counts in an array and a matching construction.
Statistics & MathTechnical Screen - MetaMediumSoftware EngineerDescribe conflict resolution and leadership
This question evaluates conflict resolution, leadership, cross-team collaboration, stakeholder management, and senior-level ownership and communication competencies in the Behavioral & Leadership category within the software engineering domain.
Behavioral & LeadershipTechnical Screen - MetaMediumSoftware EngineerDesign LCA and find K closest points
This question evaluates understanding of tree algorithms (LCA using parent pointers) and selection algorithms (sorting, max-heap, quickselect), emphasizing data structures, algorithmic correctness, and time/space complexity within the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerDesign Search And Web Crawling Systems
This question tests the ability to design a scalable web crawler capable of handling billions of pages while maintaining freshness and avoiding redundant work.
System DesignTechnical ScreenDistributed SystemsWeb CrawlingScalability - MetaMediumSoftware EngineerDesign a Concurrent, Memory-Bounded Tally Service
This problem tests the ability to design a high-throughput, memory-efficient data structure for time-series counting that balances concurrency, accuracy, and storage constraints.
Software Engineering FundamentalsTechnical ScreenConcurrencyTime-SeriesData-Structures - MetaEasySoftware EngineerDesign a String Calculator with Explicit Grammar and Evaluation Rules
This problem tests the ability to implement a parser for basic mathematical expressions, specifically focusing on handling operator precedence and parentheses using a stack-based approach.
Software Engineering FundamentalsTechnical ScreenStacksParsingAlgorithms - MetaEasySoftware EngineerDesign a Trade Ledger Class
This problem evaluates your ability to design a class interface that maintains an ordered collection of events and allows efficient retrieval based on time-based criteria.
Software Engineering FundamentalsTechnical ScreenData StructuresAPI DesignBinary Search - MetaHardSoftware EngineerDesign a bank system with scheduling and rankings
Design a bank system with scheduling and rankings evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignTechnical Screen - MetaMediumSoftware EngineerDesign a mini banking system
This interview question evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer for Design a mini banking system states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignTechnical Screen - MetaMediumSoftware EngineerDesign a ranking and recommendation system
This problem tests your ability to design a multi-stage recommendation pipeline that balances low-latency retrieval with high-precision ranking at scale.
System DesignTechnical ScreenMachine LearningRecommendation SystemsScalability - MetaMediumSoftware EngineerDesign a real-time ad impression aggregator
This question evaluates a candidate's ability in scalable real-time system design, covering competencies such as stream processing, event aggregation, time-windowed metrics, handling late and out-of-order events, and designing for very high write throughput.
System DesignTechnical Screen - MetaHardSoftware EngineerDesign a scalable banking system
This problem tests your ability to design a distributed, high-concurrency ledger system that maintains strict consistency and atomicity for financial transactions.
System DesignTechnical ScreenDistributed SystemsACIDDatabase Design - MetaHardSoftware EngineerDesign an Automated Ticket Investigation Agent
This question evaluates a candidate's ability to design AI-enabled agentic systems for automated ticket investigation, covering competencies in ticket understanding, classification and prioritization, multi-source evidence retrieval (logs, metrics, traces, documentation), root-cause diagnosis, remediation orchestration, and human-in-the-loop safety controls. It is commonly asked in the ML system design domain to assess architectural and integration thinking, data retrieval and evaluation strategies, production monitoring and safety considerations, and tests both high-level conceptual architecture and practical application-level implementation concerns.
ML System DesignTechnical Screen - MetaHardSoftware EngineerDesign an Online Game Leaderboard
A Meta software-engineer system-design screen: design the backend for an online game leaderboard supporting score recording, a global top-N board, a friends board, a player's rank and nearby players, and daily/weekly/seasonal/all-time windows at high write volume and low read latency. The model answer separates a durable score event log from an in-memory sorted ranking store, computes the friends board on read, and covers tie-breaking, caching, sharding, consistency trade-offs, anti-cheat, and rebuilds.
System DesignTechnical Screen
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