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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 1111–1140 of 2810 results
- GoogleMediumSoftware EngineerFind shortest subarray with at least k distinct
This problem tests your ability to use the sliding window (two-pointer) technique combined with hash maps to find an optimal subarray satisfying a frequency constraint.
Coding & AlgorithmsTechnical ScreenSliding WindowHash MapArrays - GoogleMediumSoftware EngineerFind shortest subarray with ≥k distinct integers
This question tests the ability to solve subarray problems using the sliding window (two-pointer) technique and hash maps to track element frequencies.
Coding & AlgorithmsTechnical ScreenSliding WindowTwo PointersHash Map - GoogleMediumSoftware EngineerFind the Largest Monotone Increasing Number
Tests greedy algorithms, digit manipulation, and boundary handling to find the largest number less than or equal to n with non-decreasing decimal digits.
Coding & AlgorithmsTechnical Screengreedymathstring - GoogleHardSoftware EngineerFind the Longest Straight Run of One Color
Tests grid traversal and dynamic programming to find the maximum consecutive sequence of identical elements along horizontal, vertical, and diagonal lines.
Coding & AlgorithmsTechnical Screenmatrixdynamic-programmingarray - GoogleMediumSoftware EngineerFind the Most Frequent IP Addresses in a File Too Large for Memory
Find the ten most frequent normalized IP addresses with cutoff ties preserved, first in memory and then exactly through disk partitioning, per-partition aggregation, global thresholding, and skew handling.
Software Engineering FundamentalsTechnical Screen - GoogleMediumSoftware EngineerFind where to cut cake into equal areas
This problem tests your ability to model a geometric area as a function and solve for a specific threshold using a binary search or linear sweep approach.
Coding & AlgorithmsTechnical ScreenGeometryArraysPrefix Sums - GoogleMediumSoftware EngineerHandle Teammate Who Feels Pressured
This question evaluates interpersonal communication, conflict resolution, and leadership competencies, focusing on handling underperformance and interpersonal tension within a technical team.
Behavioral & LeadershipTechnical Screen - GoogleMediumSoftware EngineerHandle conflict, priorities, and ownership scenarios
This prompt evaluates behavioral leadership competencies—conflict resolution, stakeholder management, prioritization under tight deadlines, ownership and accountability, and the ability to synthesize differing perspectives—within a software engineering context.
Behavioral & LeadershipTechnical Screen - GoogleMediumSoftware EngineerHandle teamwork, prioritization, and feedback scenarios
This question evaluates teamwork, prioritization, conflict resolution, mentoring, feedback delivery, and time-management competencies for a software engineering role in the Behavioral & Leadership category.
Behavioral & LeadershipTechnical Screen - GoogleHardSoftware EngineerHandle two teams duplicating work
This question evaluates leadership competencies such as cross-team communication, stakeholder alignment, prioritization, and conflict-resolution skills.
Behavioral & LeadershipTechnical Screen - GoogleMediumSoftware EngineerHandling an Ambiguous "Family Tree" Prompt
This question evaluates a candidate's competency in handling ambiguous requirements, focusing on requirement elicitation, clarification, incremental delivery, documentation, and risk management within a family-tree prompt.
Behavioral & LeadershipTechnical Screen - GoogleMediumSoftware EngineerHow Would You Verify a Smiling-Face Detection Feature in Google Photos?
A role-related question for software engineers: if your feature detects smiling faces in Google Photos, how would you verify that the detection is correct? It tests defining ground truth, choosing evaluation metrics and thresholds, covering hard cases and demographic slices, and validating the feature before and after launch.
Machine LearningTechnical Screen - GoogleMediumSoftware EngineerHow You Handle a Project With Unclear Scope and High Ambiguity
A behavioral question asks how you handle a project whose scope is unclear or highly ambiguous. It tests how you clarify goals with stakeholders, decide which unknowns to resolve first, make progress on documented assumptions, communicate changes, and back your approach with a real example.
Behavioral & LeadershipTechnical Screen - GoogleMediumSoftware EngineerHow do you handle credit, leadership, and feedback?
This question evaluates collaboration, ownership, conflict management, influence without authority, leadership/mentorship, and feedback skills within the Behavioral & Leadership domain for software engineering roles, emphasizing practical application through concrete examples rather than purely conceptual understanding.
Behavioral & LeadershipTechnical Screen - GoogleHardSoftware EngineerHow do you handle workplace conflict scenarios?
This question evaluates interpersonal and leadership competencies, including communication, conflict resolution, de-escalation, stakeholder alignment, and maintaining team collaboration.
Behavioral & LeadershipTechnical Screen - GoogleMediumSoftware EngineerHow to host many domains on one IP?
Evaluates knowledge of DNS, HTTP/HTTPS request routing, TLS certificate management, and operational/security trade-offs when hosting multiple domains on a single public IP. Commonly asked to probe architectural reasoning and practical deployment trade-offs in the System Design domain at an architectural/operational level of abstraction.
System DesignTechnical Screen - GoogleEasySoftware EngineerHow would you lead a team through delivery issues?
This question evaluates leadership and team-management competencies—including delegation, prioritization, conflict resolution, and feedback communication—within a software engineering context and the Behavioral & Leadership interview category.
Behavioral & LeadershipTechnical Screen - GoogleEasySoftware EngineerImplement Batched Undo/Redo Layer
This question evaluates understanding of state management, undo/redo semantics, batched transactional edits, and memory-efficient change history representation for map-based document layers.
Coding & AlgorithmsTechnical Screen - GoogleHardSoftware EngineerImplement Longest-Match Text Replacement
This question evaluates string processing, pattern matching, greedy algorithm reasoning, and data structure design for efficient longest-prefix token replacement, and is categorized under Coding & Algorithms.
Coding & AlgorithmsTechnical Screen - GoogleMediumSoftware EngineerImplement Trie Insert and Exact-Word Search
Implement trie insertion and exact-word search for up to a million total characters, distinguishing terminal words from mere prefixes and returning search results in operation order.
Coding & AlgorithmsTechnical Screen - GoogleHardSoftware EngineerImplement a Lazy Tee Iterator in Python
This problem tests your understanding of iterator protocols, generator patterns, and memory-efficient data buffering for multi-consumer streams.
Software Engineering FundamentalsTechnical ScreenPythonIteratorsGenerators - GoogleMediumSoftware EngineerImplement a Reusable Locker Allocation System
Design and implement a locker bank management system that assigns the lowest available locker index, handles invalid store and pickup operations, releases lockers immediately, and tracks the last package successfully stored in each locker.
Coding & AlgorithmsTechnical Screenheaphash-tabledesign - GoogleMediumSoftware EngineerImplement an HTTP Router That Resolves Handlers for Paths with Named Parameters
Implement an HTTP router that registers handlers for path patterns, some with named parameters and some without, and looks up the handler and parameter values for a request path. It tests data structure choice, precedence between fixed and parameterized segments, conflict handling and lookup complexity.
Software Engineering FundamentalsTechnical Screen - GoogleMediumSoftware EngineerImplement frequency + distance top‑K queries
This pair of problems evaluates algorithmic and data-structure skills including frequency counting, multi-criteria ordering and selection for top-K results, geometric distance computation for tie-breaking, and time-indexed storage with nearest-timestamp retrieval.
Coding & AlgorithmsTechnical Screen - GoogleMediumSoftware EngineerImplement iterator merging lists with filtering
This problem tests your ability to design a stateful iterator that performs a multi-way merge on sorted streams while applying filtering and deduplication logic on the fly.
Coding & AlgorithmsTechnical ScreenIteratorsHeapMerge K Sorted - GoogleMediumSoftware EngineerImplement quicksort and a binary search tree, and explain how each works internally
Implement quicksort and a binary search tree from scratch and explain how each works internally, including partitioning, pivot choice, insertion, search and deletion. Tests correctness invariants, best, average and worst-case complexity, duplicate and sorted inputs, alternative approaches, and how library implementations differ.
Software Engineering FundamentalsTechnical Screen - GoogleEasySoftware EngineerImplement string formatting and request tracking tasks
This question tests string manipulation, character mapping logic for rotational symmetry, and the ability to manage time-ordered event tracking using appropriate data structures.
Coding & AlgorithmsTechnical ScreenStringsTwo PointersHash Maps - GoogleHardSoftware EngineerInfection Spread on a Grid (Cellular Automaton)
Implement an optimized discrete-time cellular automaton simulating epidemic spread on a 2D grid with recovery durations, barriers, and multi-neighbor infection thresholds.
Coding & AlgorithmsTechnical ScreenBreadth-First SearchSimulationMatrix - GoogleMediumSoftware EngineerLayer Config Trees with Pluggable Per-Path Merge Strategies
Combine a default configuration tree with an environment overlay where each path can pick a merge strategy such as deep, override, preserve, concat, union, or keyed list matching, and new strategies plug in without touching the traversal. Tests simultaneous tree recursion, registry-based extensibility, ordering rules and type-conflict handling.
Software Engineering FundamentalsTechnical Screenrecursiontreesextensibility - GoogleMediumSoftware EngineerLoad a Delivery Van With Equal-Size Crates for Maximum Profit
Pick crates from limited stock to fill a van whose slots can number in the billions, when every crate takes one slot; recognize that the scary-looking bounded knapsack collapses to a greedy, then answer many capacity queries fast.
Coding & AlgorithmsTechnical Screengreedysortingprefix-sums
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