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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
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- 11
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- 8
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Showing 361–390 of 5874 results
- AmazonMediumSoftware EngineerDesign pickup point planning for ride-hailing
Design a ride-hailing pickup-point planning system. Covers map snapping, candidate generation, driver and passenger routing, safety filtering, scoring objectives, app presentation, architecture, historical learning, and A/B metrics.
System DesignTechnical Screen - AmazonHardSoftware EngineerDesign real-time top-K products service
An Amazon software-engineer system-design screen: design a real-time service that ingests a stream of purchase events (customer_id, item_id, timestamp) and continuously serves the top-K most purchased items over multiple rolling windows (e.g. last 5 minutes, last 1 hour, 24 hours, and daily totals). The answer covers ingestion and partitioning, event-time windowing with watermarks, exact min-heap vs. approximate Count-Min-Sketch / Space-Saving top-K, late/duplicate/out-of-order handling, state and TTL, exactly-once fault tolerance, horizontal scaling, serving APIs, and latency-vs-accuracy trade-offs.
System DesignTechnical Screen - AmazonHardSoftware EngineerDesign ride-hailing pricing with fairness and pooling
This question evaluates system design and algorithmic skills related to real-time distributed pricing, API and data-flow architecture, carpooling logic, fairness constraints, and experimentation support.
System DesignOnsite - AmazonMediumSoftware EngineerDesign rolling-window top-K click tracker
Design rolling-window top-K click tracker 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 & AlgorithmsOnsite - AmazonHardSoftware EngineerDesign secure multi-tier cloud infrastructure
This question evaluates cloud systems design competencies including multi-tier network architecture, IP addressing and capacity planning, security controls, centralized server management, shared storage trade-offs, and identity and access integration within a production-scale virtual private cloud.
System DesignTechnical Screen - AmazonMediumSoftware EngineerDetect and Break a Cycle in a Singly Linked List
Tests detection and resolution of cycles in singly linked lists using two-pointer techniques with constant auxiliary space.
Coding & AlgorithmsTechnical Screenlinked-listtwo-pointersfloyds-algorithm - AmazonMediumSoftware EngineerDetect cycle in a directed graph
This question evaluates mastery of graph algorithms and graph theory concepts—specifically directed cycle detection—and assesses the ability to reason about algorithmic correctness and to analyze time and space complexity for competing approaches.
Coding & AlgorithmsOnsite - AmazonMediumSoftware EngineerDetect cycles in lists and graphs
This question evaluates understanding of cycle detection in linked lists and directed graphs, assessing competencies in pointer manipulation, graph traversal strategies, and reasoning about algorithmic time and space complexity within the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - AmazonMediumSoftware EngineerDetect words formed by multiple dictionary parts
This question evaluates proficiency in string processing, selection and use of appropriate data structures and algorithms (hashing, tries), dynamic programming and memoization, and complexity analysis for large inputs and edge-case handling within the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - AmazonMediumSoftware EngineerDetermine Rounds for Star Substring Threshold
This question evaluates string-processing and algorithmic problem-solving skills, including handling incremental updates, counting substrings impacted by character replacements, and performance-aware simulation.
Coding & AlgorithmsOnline Assessment - AmazonMediumSoftware EngineerDetermine Whether All Courses Can Be Completed
This problem tests your ability to model dependencies using a directed graph and detect cycles to determine if a set of tasks can be completed.
Coding & AlgorithmsTechnical ScreenGraphTopological SortDFS - AmazonEasySoftware EngineerDetermine Whether One Person Can Attend Every Meeting
This problem tests your ability to handle interval sorting and linear-time overlap detection to ensure no two meetings conflict.
Coding & AlgorithmsTechnical ScreenSortingIntervalsGreedy - AmazonMediumSoftware EngineerDetermine Whether Package Weights Can Be Safely Arranged
Tests array manipulation, counting techniques, and greedy or constraint-satisfaction logic to determine if an array can be permuted so no two adjacent elements sum to ten or more.
Coding & AlgorithmsTechnical ScreenGreedyCountingArray - AmazonMediumSoftware EngineerDetermine Whether a Binary Tree Is a Valid BST
Determine whether an entire breadth-first encoded binary tree obeys the strict BST invariant. Use ancestor bounds rather than only parent-child checks, reject duplicates, handle numeric extremes, and discuss an iterative approach for deep trees.
Coding & AlgorithmsTechnical Screen - AmazonMediumSoftware EngineerDetermine string segmentability with dictionary
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Determine string segmentability with dictionary states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsOnsite - AmazonHardSoftware EngineerDiagnose Return Eligibility Scoring Bugs
This question evaluates debugging and root-cause analysis skills related to scoring logic, data integrity, feature engineering, and system reliability in return-eligibility services.
Software Engineering FundamentalsOnline Assessment - AmazonMediumSoftware EngineerDigging Into Details: Untangling a Complex Team Problem and Finding a Root Cause
Two behavioral prompts on diving deep: describe untangling a complex team problem by examining the details yourself, and finding the true root cause behind a misleading first explanation. It assesses hands-on investigation, rigor with evidence and fixes that prevent recurrence.
Behavioral & LeadershipOther - AmazonEasySoftware EngineerDiscuss AI Use, Deadlines, Ambiguity, and Feedback
Prepare evidence-based behavioral stories about generative AI use, technical complexity, deadlines, ambiguity, ownership, critical feedback, and rapid learning. Emphasize personal decisions, verification, stakeholder communication, honest trade-offs, measurable outcomes, and lessons from imperfect results.
Behavioral & LeadershipOnsite - AmazonEasySoftware EngineerDiscuss Feedback, User Needs, Influence, Deadlines, and Learning
This set of behavioral prompts evaluates a candidate's ability to navigate high-pressure engineering environments, focusing on self-awareness, cross-functional collaboration, and technical growth.
Behavioral & LeadershipTechnical ScreenLeadershipSoft SkillsAdaptability - AmazonMediumSoftware EngineerDiscuss deadline, challenge, feature
Discuss deadline, challenge, feature evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipTechnical Screen - AmazonMediumSoftware EngineerDiscuss deadlines, feedback, and deep dives
An Amazon software engineer behavioral screen covering deadline and prioritization skills, accountability for a missed deadline, response to negative feedback, going beyond requirements, root-cause deep dives with verification, and thoughtful reverse questions for the hiring manager. Includes STAR(L) sample answers and a scoring rubric tied to Amazon's Leadership Principles.
Behavioral & LeadershipTechnical Screen - AmazonMediumSoftware EngineerDiscuss open-source contributions and impact
This question evaluates a software engineer's competency in technical communication, ownership and design trade-offs, collaborative contribution workflows (issues, pull requests, and reviews), measurable impact reporting, and ongoing maintenance within open-source projects.
Behavioral & LeadershipTechnical Screen - AmazonMediumSoftware EngineerDive Deep to Find the Root Cause of a Problem
This question tests your structured problem-solving approach, technical depth, and ability to challenge initial assumptions when troubleshooting complex production issues.
Behavioral & LeadershipTechnical ScreenBehavioralProblem SolvingRoot Cause Analysis - AmazonMediumSoftware EngineerDive Deep to Resolve a Difficult Problem
Tell how you investigated beyond an appealing first explanation to resolve a difficult problem. Present misleading symptoms, at least one rejected hypothesis, evidence that narrowed the cause, verification, and a durable prevention or detection improvement.
Behavioral & LeadershipTechnical Screen - AmazonMediumSoftware EngineerDrone Circular Route — Minimum Total Travel Cost
This problem tests your ability to solve a variation of the Traveling Salesman Problem using bitmask dynamic programming to optimize route costs in a small, weighted graph.
Coding & AlgorithmsOnline AssessmentDynamic ProgrammingBitmaskingGraph Theory - AmazonMediumSoftware EngineerEscalation Stack That Resolves the Most-Reported Issue First
Design a support-escalation structure where resolving an issue always clears whichever one currently has the most open reports, breaking ties by the most recently reported occurrence. Tests combining frequency and recency so both operations run in O(1).
Coding & AlgorithmsOnsitestackhash-mapdesign - AmazonHardSoftware EngineerEvaluate IP Access Rules
This question evaluates knowledge of IPv4 addressing, CIDR subnet matching, and access-control rule resolution, assessing competency in bitwise address reasoning, prefix-length precedence, and rule tie-breaking.
Coding & AlgorithmsTechnical Screen - AmazonHardSoftware EngineerEvaluate actions in Amazon simulation
Evaluate actions in Amazon simulation evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipOnline Assessment - AmazonEasySoftware EngineerEvaluate an AI-Assisted Engineering Workflow
This question tests the candidate's ability to critically analyze the integration of AI tools into the software development lifecycle by balancing productivity gains with code quality and reliability.
Software Engineering FundamentalsTechnical ScreenAI-EngineeringWorkflow-DesignCode-Migration - AmazonMediumSoftware EngineerEvaluating Generative AI Use and Accuracy
Tests a candidate's ability to assess when Generative AI is the right solution, choose appropriate architecture patterns (such as RAG or fine-tuning), and rigorously measure and improve model output accuracy in production.
Machine LearningOnsiteGenerative AIRAGML Evaluation
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