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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
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- 546
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- 11
- Topics
- 8
- Languages
Showing 871–900 of 2810 results
- DistylHardSoftware EngineerDesign a Grounded LLM Assistant for Case Preparation
Design an enterprise-grade, retrieval-grounded LLM assistant for litigation teams to summarize discovery documents and draft case briefs with strict matter isolation, citation provenance, contradiction detection, and injection guardrails.
ML System DesignTechnical ScreenRAGLLM SafetyInformation Retrieval - DockerMediumSoftware EngineerDesign a container image registry
This problem tests your ability to design a distributed, content-addressable storage system that handles large binary blobs and metadata while optimizing for read/write performance and storage efficiency.
System DesignTechnical ScreenDistributed SystemsStorageScalability - DockerMediumSoftware EngineerEvaluate an arithmetic expression
This problem tests the ability to parse and evaluate arithmetic expressions involving addition, subtraction, multiplication, and division, requiring careful handling of operator precedence and parsing multi-digit integers.
Coding & AlgorithmsTechnical ScreenStackParsingString Manipulation - DocuSignMediumSoftware EngineerCollapse runs of adjacent anagrams in a word list
Given a list of lowercase words, repeatedly delete any word that is an anagram of the word immediately before it, and return what remains in its original order. The task tests anagram comparison, reasoning about how repeated deletions interact, and producing a unique, order-preserving result.
Coding & AlgorithmsTechnical Screen - DocuSignMediumSoftware EngineerFind maximum island sum and required indices
This question evaluates grid-based graph traversal and connected-component aggregation skills, including handling positive and negative cell values, tie-breaking by row-major indices, and computing maximum component sums.
Coding & AlgorithmsTechnical Screen - DoorDashMediumSoftware EngineerAnswer rapid-fire behavioral questions
Answer rapid-fire behavioral questions 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 - DoorDashMediumSoftware EngineerBuild a Delivery Payout Calculation API
Build a payout endpoint that retrieves delivery activity and accrues 30 cents per minute for each concurrent order. The solution covers interval sweeps, malformed events, exact money, day boundaries, final rounding, upstream timeouts, retry limits, caching, and layered tests.
Software Engineering FundamentalsTechnical Screen - DoorDashMediumSoftware EngineerBuild a Three-Service Refund Workflow over HTTP
Implement and orchestrate a multi-service refund pipeline over HTTP, ensuring idempotent execution, safe concurrency limits, and crash recovery across separate process boundaries.
Software Engineering FundamentalsTechnical Screendistributed-systemshttp-apisidempotency - DoorDashMediumSoftware EngineerCalculate Courier Earnings
This question evaluates algorithmic problem-solving with emphasis on temporal interval aggregation, handling overlapping events, and applying conditional rate multipliers under specified business rules.
Coding & AlgorithmsTechnical Screen - DoorDashHardSoftware EngineerCalculate Daily Driver Pay
This question evaluates event-driven time-interval processing, interval-overlap arithmetic, rate computation, and robustness to malformed, duplicate, or unordered events when aggregating a driver's pay from a day's log.
Coding & AlgorithmsTechnical Screen - DoorDashEasySoftware EngineerCompute Courier Delivery Pay
This question tests the ability to handle time intervals and calculate cumulative earnings based on overlapping delivery pay rates.
Coding & AlgorithmsTechnical ScreenArraysIntervalsGreedy - DoorDashMediumSoftware EngineerCompute Differences Between Catalog Trees
This question evaluates proficiency in tree algorithms and hierarchical data comparison, including simultaneous traversal, subtree sizing, key-based node identity, and time/space complexity reasoning, and is commonly asked to assess algorithmic problem-solving and trade-off analysis when comparing structured datasets.
Coding & AlgorithmsTechnical Screen - DoorDashMediumSoftware EngineerCompute Driver Pay with Double-Pay Windows
This question evaluates a candidate's ability to perform interval arithmetic and aggregation for time-based pay computations, including handling overlapping intervals, half-open boundaries, capped double-pay application, and special-case handling for canceled orders.
Coding & AlgorithmsTechnical Screen - DoorDashEasySoftware EngineerCompute Nearest Destination Distances
This problem tests your ability to use Multi-Source Breadth-First Search (BFS) to find the distance from every empty cell to the nearest destination in a grid.
Coding & AlgorithmsTechnical ScreenBFSGraphsGrid - DoorDashMediumSoftware EngineerCompute courier pay with peak-hour rules
This question evaluates a candidate's data manipulation skills and competency in implementing business rules, including robust error handling, aggregation for per-day totals, minimum-pay enforcement, and time-window (peak-hour) pay adjustments.
Data Manipulation (SQL/Python)Technical Screen - DoorDashMediumSoftware EngineerCompute delivery times on a grid
This question evaluates understanding of graph traversal and shortest-path algorithms, grid-based pathfinding, and data structure selection for representing sparse or large grids within the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - DoorDashMediumSoftware EngineerCompute earliest arrival in time-grid
This question evaluates algorithmic problem-solving and pathfinding skills on grid-based graphs, focusing on modeling time-dependent traversal constraints and reasoning about efficient search and supporting data structures.
Coding & AlgorithmsTechnical Screen - DoorDashMediumSoftware EngineerCompute nearest dashmart and busiest assignments
Compute nearest dashmart and busiest assignments 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 - DoorDashMediumSoftware EngineerCompute nearest dashmart distances for queries
This question evaluates a candidate's understanding of graph traversal and shortest-path computation on grids, spatial reasoning about obstacles and sources, and the ability to analyze algorithmic scalability and complexity when answering many queries.
Coding & AlgorithmsTechnical Screen - DoorDashHardSoftware EngineerCount changed nodes between two menu trees
This problem tests recursive tree traversal and hierarchical diffing strategies to identify structural and content changes between two versions of a menu tree.
Coding & AlgorithmsTechnical ScreenTreesRecursionHash Maps - DoorDashMediumSoftware EngineerCount changed nodes in N-ary trees
This question evaluates understanding of N-ary tree data structures, structural comparison of hierarchical versions, and the ability to reason about time and space complexity when detecting added, deleted, value-changed, or reparented nodes.
Coding & AlgorithmsTechnical Screen - DoorDashHardSoftware EngineerDebug a cache incident end-to-end
This question evaluates a candidate's ability to diagnose and debug production cache incidents, testing competencies in distributed caching, observability, incident response, root-cause analysis, and the operational impact on microservice latency.
Software Engineering FundamentalsTechnical Screen - DoorDashMediumSoftware EngineerDebug round-robin request router
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 round-robin request router states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignTechnical Screen - DoorDashMediumSoftware EngineerDebug round-robin, DashMap, and simple cache
This question evaluates skills in concurrent programming and stateful selection logic (round-robin load balancing), data structure invariants and debugging (custom hash map hashing vs equality, collision resolution, resizing and iterator correctness), simple in-memory caching strategies with TTL or size-based eviction, and unit test design.
Coding & AlgorithmsTechnical Screen - DoorDashHardSoftware EngineerDeep-dive a project architecture
An open-ended DoorDash software-engineer system-design screen: pick a real project and deep-dive its architecture end to end. Candidates draw the diagram, state invariants, walk read/write paths, justify storage and trade-offs, capacity-plan, cover reliability/security/observability with SLOs, recount a real incident, and propose a quantified 10x-traffic plan. Includes a full worked example built around a real-time delivery dispatch and live order-tracking service.
System DesignTechnical Screen - DoorDashMediumSoftware EngineerDefend an Ownership Project with Measurable Impact
Tests an engineer's ability to demonstrate end-to-end ownership, justify architectural trade-offs under constraints, and prove business or operational impact using credible metrics.
Behavioral & LeadershipTechnical ScreenOwnershipSystem ArchitectureMetrics & Impact - DoorDashMediumSoftware EngineerDemonstrate leadership and team development
Demonstrate leadership and team development 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 - DoorDashMediumSoftware EngineerDescribe a Project End-to-End
This question evaluates a candidate's ability to demonstrate end-to-end project ownership, technical decision-making, cross-functional communication, and measurement of business impact, and is commonly asked to assess how an individual explains their role, trade-offs, launch outcomes, and lessons learned.
Behavioral & LeadershipTechnical Screen - DoorDashMediumSoftware EngineerDesign API that aggregates three downstream APIs
This question evaluates a candidate's ability to design an API aggregator, covering skills in service orchestration, fault tolerance, latency and SLO management, error handling, and observability for distributed HTTP/JSON services.
System DesignTechnical Screen - DoorDashHardSoftware EngineerDesign Real-Time Driver Pay Aggregation
This question evaluates competence in designing scalable, fault-tolerant streaming systems and implementing correct time-windowed aggregation logic, testing skills in distributed systems, stream processing, and data correctness; it belongs to the system design domain and streaming/real-time data engineering and spans both conceptual architectural thinking and practical application-level concerns. It is commonly asked to probe reasoning about correctness under at-least-once delivery and messy inputs (out-of-order, duplicate, late, or malformed events), operational resilience, and trade-offs between throughput, latency, and auditability in production-scale pipelines.
System DesignTechnical Screen
DocuSign
DoorDash