DoorDash interview questions

Showing 61–90 of 241 results

• Describe a Project End-to-EndMedium

  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.

  DoorDashSoftware EngineerBehavioral & LeadershipTechnical Screen
• Describe your most impactful recent projectMedium

  A DoorDash software-engineering onsite behavioral question asking you to walk through your most impactful recent project: the problem, your specific role, measurable impact, a key technical decision and its trade-offs, how you handled scaling and reliability, a risk or failure you hit, and what you'd do differently. Includes a structured STAR-plus-deep-dive framework and a worked real-time-dispatch example.

  DoorDashSoftware EngineerBehavioral & LeadershipOnsite
• Design A/B Test to Evaluate Algorithm's Revenue ImpactHard

  DoorDash statistics and experimentation prompt on A/B testing a recommendation algorithm's revenue impact, covering hypotheses, randomization, sample size, heavy-tailed revenue, p=0.08 interpretation, and causal alternatives.

  DoorDashData ScientistStatistics & MathTechnical Screen
• Design API that aggregates three downstream APIsMedium

  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.

  DoorDashSoftware EngineerSystem DesignTechnical Screen
• Design Biker metrics and A/B test planMedium

  This question tests the ability to design an experimentation framework for a two-sided marketplace, focusing on metric definition, causal inference, and identifying potential gaming behaviors in delivery logistics.

  DoorDashData ScientistAnalytics & ExperimentationTechnical Screen
• Design Experiments to Measure Promotion Scheduling ImpactMedium

  This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer for Design Experiments to Measure Promotion Scheduling Impact states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  DoorDashData ScientistAnalytics & ExperimentationOnsite
• Design Food Ratings and Driver PayoutsMedium

  This question evaluates system design competencies such as API design, data modeling and storage selection for aggregated 5-point ratings, handling user-generated posts and likes, service decomposition, consistency trade-offs, scalability, and designing a monthly batch payout pipeline for driver earnings.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design Food-Item Reviews, Ratings, and Mutable Vote CountsMedium

  Design item reviews and votes with purchase eligibility, unique reviews, rating aggregates, reliable counters, pagination, and recoverable caching.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design Real-Time Driver Pay AggregationHard

  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.

  DoorDashSoftware EngineerSystem DesignTechnical Screen
• Design a 3-day donation platformHard

  This question evaluates competency in designing scalable, highly available payment-enabled distributed systems, including skills in traffic spike handling, idempotency and reconciliation, real-time totals and leaderboards, latency and throughput planning, and compliance/privacy considerations.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Customer Review PageMedium

  This question tests the ability to design a scalable review system capable of handling high-write volume, media storage, and efficient retrieval with pagination.

  DoorDashSoftware EngineerSystem DesignTechnical Screen
• Design a Donation Service with Reliable Payment and Payout TrackingMedium

  Design donation collection and charity payouts with a PSP, idempotent state transitions, durable ledger records, asynchronous provider events, and reconciliation.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Donation System for a Three-Day Fundraising CampaignMedium

  Design a donation system for a fundraising campaign that runs for exactly three days, where donors choose a charity, pay through a payment processor and see running totals. It tests payment idempotency and reconciliation, handling a time-boxed traffic burst, avoiding write hotspots on totals, and fraud protection.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Durable DAG Workflow for Order RefundsMedium

  This problem tests the ability to architect a robust, fault-tolerant workflow engine capable of managing complex state transitions and ensuring transactional integrity in distributed systems.

  DoorDashSoftware EngineerSoftware Engineering FundamentalsOnsite
• Design a Food Item Review and Customer Reward System for a Delivery AppMedium

  A DoorDash system design prompt to build a food item review system for a delivery app that also rewards customers for reviewing. It tests product judgment on open questions, verified-purchase writes, cached rating aggregates, and designing a practical, abuse-resistant reward program with reliable crediting.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Food Rating SystemMedium

  This problem tests your ability to design a distributed, read-heavy rating and review system that handles high concurrency and ensures data integrity.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Food Review PlatformMedium

  Design a food review platform for discovery, ratings, review text, optional dish-level content, and trusted aggregates. Define entity and review contracts, search and read paths, moderation, abuse resistance, privacy, scaling, and operational recovery.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Food Review System for a Delivery App, Focused on the Database SchemaHard

  System design question for the review feature of a food-delivery platform, where customers rate and review the food from delivered orders and others browse ratings. The focus is database schema design: tables, keys, constraints, indexes, rating aggregates, and how edits, deletes and moderation keep them correct.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Food Review and Voting SystemMedium

  Design a scalable review and voting platform for dishes and restaurants, focusing on transactional vote changes, aggregate counter consistency, hot-item read/write scaling, and stable pagination.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Food-Item Review SystemHard

  Design an item-level review and rating platform for food delivery that handles high-throughput reads, asynchronous sentiment and moderation pipelines, and near real-time score aggregations.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Homepage Store RecommenderHard

  This question assesses the ability to design an end-to-end, low-latency recommendation system for a food delivery marketplace, focusing on candidate retrieval strategies, real-time personalization, and system architecture.

  DoorDashData ScientistMachine LearningOnsite
• Design a Low-Latency Store RecommenderHard

  This question assesses the ability to architect a multi-stage recommendation pipeline that balances low-latency retrieval with high-accuracy ranking in a geo-aware, high-concurrency food delivery context.

  DoorDashData ScientistMachine LearningOnsite
• Design a Menu Item Review and Rating System for a Food-Delivery PlatformMedium

  A system design question on a menu review feature for a food-delivery platform, where customers rate and review the menu items they ordered. It tests requirement prioritization, detailed review schema and API design, rating aggregation, caching and moderation, and time management that still reaches a deep dive.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Multi-Service Workflow EngineHard

  Design a resilient, distributed workflow orchestration engine capable of executing multi-step business processes across heterogeneous services with strict guarantees around durability, idempotency, and failure recovery.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Real-Time Monitoring SystemEasy

  This problem tests your ability to design a high-throughput observability pipeline capable of ingesting, storing, and alerting on time-series metrics from a distributed fleet of services.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Refund Workflow as a Directed Acyclic GraphMedium

  Design a resilient, stateful workflow orchestration engine to process complex order refunds as a Directed Acyclic Graph (DAG), ensuring idempotency, crash recovery, and financial consistency.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Resilient Bootstrap API AggregatorMedium

  Design a resilient bootstrap aggregation service that fetches critical initial state for a mobile app on launch. Tests interface design, concurrent I/O, partial failure handling, and operational trade-offs.

  DoorDashSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Design a Review and Rating System for Food Delivery Menu ItemsMedium

  Design a review and rating system for a food-delivery platform, where customers review the individual menu items they received and every menu shows each item's rating. It tests data modeling, purchase verification, incremental rating aggregation, caching for read-heavy menus, moderation, and handling bursts on popular items.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Sliding-Hour Top-Restaurants ServiceMedium

  This problem tests the ability to design a high-throughput, real-time analytics system that maintains a top-k leaderboard over a sliding time window.

  DoorDashSoftware EngineerSystem DesignOnsite
• Design a Store Recommendation System and Explain ML Trade-offsMedium

  Design a personalized store recommendation feed for an on-demand delivery platform and evaluate key machine learning modeling trade-offs.

  DoorDashSoftware EngineerML System DesignOnsite