practice a little every day, paws crossed ♡
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 181–210 of 5874 results
- Akuna CapitalHardSoftware EngineerDesign an order-matching engine
This question evaluates a candidate's ability to design a high-throughput, low-latency in-memory limit order-matching engine, testing competencies in data structure selection, algorithmic complexity, deterministic concurrency, API design, and handling domain-specific constraints such as self-trade prevention.
System DesignTechnical Screen - Akuna CapitalMediumSoftware EngineerDesign two-user communications handler with exceptions
This question evaluates object-oriented design, state management, and custom exception handling skills for enforcing a single active communication pair and related invariants between two users.
Coding & AlgorithmsHR Screen - Akuna CapitalEasySoftware EngineerDesign user communication functions
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 user communication functions states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignOnline Assessment - Akuna CapitalMediumSoftware EngineerEvaluate SQL expressions for zero
This question evaluates understanding of SQL type coercion, boolean semantics, comparison operators, and dialect-specific evaluation behavior (for example, MySQL), focusing on interpreting expressions that may evaluate to zero.
Data Manipulation (SQL/Python)Online Assessment - Akuna CapitalMediumSoftware EngineerEvaluate a Hexadecimal Bitwise AND
Tests understanding of bitwise operations, hexadecimal-to-binary mapping, and manual nibble-level alignment without relying on arbitrary-precision integer conversions.
Software Engineering FundamentalsTechnical ScreenBit ManipulationStringsSystems Programming - Akuna CapitalMediumSoftware EngineerFind the Maximum Value in a Binary Tree Recursively
Implement a recursive binary tree traversal to find the maximum integer value in a tree, with careful handling of pointer safety, sentinel values, and edge cases like all-negative nodes.
Software Engineering FundamentalsTechnical Screenbinary-treerecursioncpp - Akuna CapitalHardSoftware EngineerFix and harden an object pool
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 Fix and harden an object pool states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignOnline Assessment - Akuna CapitalMediumSoftware EngineerHeapify an array into a max-heap
This question evaluates understanding of heap data structures and the in-place bottom-up heapify algorithm for building a max-heap on a 0-indexed array, testing skills in array manipulation, heap invariants, and algorithmic reasoning.
Coding & AlgorithmsOnline Assessment - Akuna CapitalMediumSoftware EngineerImplement React check-in/out month dropdowns
This question evaluates front-end React skills including controlled components, state synchronization, interdependent input validation, keyboard accessibility/ARIA, and unit testing for UI behavior, and it sits in the Front-end/UI development domain (Other/Miscellaneous) with an emphasis on practical implementation rather than purely conceptual reasoning. It is commonly asked because interviewers use it to verify an engineer's ability to enforce input constraints, integrate dropdowns with existing form state and submission flows, maintain accessibility with native controls, and provide test coverage for validation and disabled-option behavior.
Software Engineering FundamentalsHR Screen - Akuna CapitalMediumSoftware EngineerImplement a ring buffer
This question evaluates implementation skills for fixed-capacity circular buffers and competency in array-based data structures, including O(1) push/pop/peek/isEmpty/isFull/size operations and logical-order iteration.
Coding & AlgorithmsTechnical Screen - Akuna CapitalMediumSoftware EngineerImplement a two-user communications handler
This question evaluates skills in stateful resource management, API and abstraction design, custom exception handling, and input validation for enforcing a single-active connection between two users.
System DesignOnline Assessment - Akuna CapitalHardSoftware EngineerMaximize Distinct Values with Cross-Array Swaps
This problem tests greedy strategy optimization and frequency counting to maximize the count of unique elements across two arrays after a limited number of swaps.
Coding & AlgorithmsTechnical ScreenGreedyArraysHashing - Akuna CapitalHardSoftware EngineerMinimum Movement Cost to Segregate Binary Digits
This problem tests greedy algorithm design and sequence optimization by calculating the cumulative distance required to shift all '1's to the end of a binary string.
Coding & AlgorithmsTechnical ScreenGreedyStringsArrays - Akuna CapitalMediumSoftware EngineerSolve swaps, graph paths, and movie DP
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Solve swaps, graph paths, and movie DP states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsOnline Assessment - Akuna CapitalMediumSoftware EngineerSolve three C++ algorithmic tasks
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Solve three C++ algorithmic tasks states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsOnline Assessment - Akuna CapitalMediumSoftware EngineerTrace code and find frequent character
Trace code and find frequent character 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 & AlgorithmsOnline Assessment - AlibabaMediumSoftware EngineerExplain What Your Team Owns and Why It Needs Its Headcount
A resume deep-dive question asking a software engineer to explain what their team owns, why it needs its current number of engineers, and one concrete example that shows the work is harder than it looks. It tests system-level understanding, judgment about complexity and composure when the interviewer says the business sounds simple.
Behavioral & LeadershipTechnical Screen - AlibabaMediumSoftware EngineerFixed-Capacity Cache That Evicts the Least Frequently Used Key, Ties by Recency
Build a fixed-capacity key-value cache that evicts the key with the fewest uses, breaking ties by least recent use, and replay a sequence of get and put operations to return each read result. It tests careful per-key frequency and recency tracking with constant average time per operation.
Coding & AlgorithmsTechnical Screen - AlibabaMediumSoftware EngineerIdempotent Kafka Consumer: Duplicate Writes, Offset Commits and a Second Database
A backend design discussion on making a concurrent Kafka consumer idempotent: how to stop duplicate effects when the same message is processed twice, whether a duplicate write should throw or return the existing data, how offsets keep advancing, and how to keep a second database consistent when publishing fails.
System DesignTechnical Screen - AltruistHardSoftware EngineerDesign scalable rate limiter with token bucket
This question evaluates understanding of rate-limiting algorithms and scalability concepts, specifically comparing sliding-window and token-bucket approaches with attention to lazy refill, per-client state modeling, memory efficiency, concurrency, and extendability to distributed systems.
System DesignTechnical Screen - AmazonMediumSoftware EngineerA Problem That Needed Deep Analysis: Knowing You Focused on the Right Things
A behavioral question about a problem that required in-depth thought and analysis, how you knew you were focusing on the right things, and what the outcome was. Follow-ups probe precise details of the example, such as an LLM agent's token size, the effect of adding fields, and what completeness meant.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerAccept Notification Bursts With Low Latency
Design a high-throughput, low-latency notification ingestion and delivery service capable of absorbing sudden 10x traffic spikes while maintaining strict delivery SLOs and downstream rate limits.
System DesignTechnical ScreenDistributed SystemsMicroservicesMessage Queues - AmazonMediumSoftware EngineerAdd One Source to Minimize Grid Inconvenience
Minimize the worst inconvenience in a binary grid by adding one colored source. Movement is allowed in eight directions, and the solution must handle grids that begin with no source at all.
Coding & AlgorithmsOnline Assessment - AmazonMediumSoftware EngineerAnswer Amazon Leadership Principles questions
This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Answer Amazon Leadership Principles questions states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerAnswer Behavioral Questions About Deadlines, Feedback, and Ambiguity
This question tests your ability to structure past professional experiences using the STAR method (Situation, Task, Action, Result) to demonstrate ownership, adaptability, and emotional intelligence in high-pressure environments.
Behavioral & LeadershipTechnical ScreenBehavioralLeadershipCommunication - AmazonHardSoftware EngineerAnswer Dive Deep and Ownership in LP interview
This question evaluates a candidate's competency in debugging complex production issues, root cause analysis, operational ownership, cross-team coordination, and incident management within the behavioral and leadership domain.
Behavioral & LeadershipTechnical Screen - AmazonEasySoftware EngineerAnswer Leadership and GenAI Behavioral Questions
This set of prompts evaluates leadership, communication, problem-solving, adaptability, learning agility, and hands-on experience with generative AI, including skills in validating outputs and improving workflows.
Behavioral & LeadershipTechnical Screen - AmazonMediumSoftware EngineerAnswer a large batch of variable-ratio queries from division equations
Given division equations between named variables and their values, answer a large batch of ratio queries, returning -1.0 whenever a ratio cannot be determined. It tests chaining ratios through shared variables, handling unknown and disconnected variables, and reusing work across many queries, the scale follow-up raised in the interview.
Coding & AlgorithmsTechnical Screen - AmazonHardSoftware EngineerAnswer common Amazon behavioral questions
This question evaluates behavioral competencies and leadership skills, focusing on individual problem-solving, team motivation, communication, and cultural fit through structured storytelling of past experiences.
Behavioral & LeadershipTechnical Screen - AmazonHardSoftware EngineerAnswer common internship behavioral questions
This question evaluates behavioral competencies including motivation and cultural fit, role-specific interest, decision-making under time pressure, prioritization, and deadline management.
Behavioral & LeadershipTechnical Screen
Akuna Capital
Alibaba
Amazon