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Zwift Interview Questions

The questions to prepare for Zwift interviews, across all roles. Questions from real interview reports rank first. Updated daily.

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1
CodingStart here. 10 questions · ~88 min
Collision and Distance CalculationsMedium
Practice

Detect intersecting or touching circles by comparing squared center distance with squared combined radius.

bounding boxesBasic AlgorithmsMathZwift
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2
Execution14 questions · ~123 min
Prioritize Work With Limited CapacityMedium

Prioritize competing engineering requests when capacity is constrained and stakeholders want different outcomes.

Trade-offsScope ManagementPrioritizationZwift
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3
Behavioral & Leadership18 questions · ~158 min
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4
More topics8 questions · ~70 min
Define Success Metrics for FeaturesMedium

Set a clear north star, supporting KPIs, leading indicators, and guardrails for a new product feature.

North Star MetricLagging IndicatorsKPIsZwift
Global Leaderboard Database DesignMedium

Tests data modeling and database design for ranking, updates, and global access patterns.

star schemaperformanceData ModelingZwift
JavaScript Scoping and AsyncMedium

Tests understanding of JavaScript fundamentals and async behavior.

asynchronous workjavascripttechnical experienceZwift
Real-Time Telemetry BackendHard

Tests system design skills for high-throughput, low-latency telemetry pipelines at Zwift scale.

Stream ProcessingscalabilitytelemetryZwift
MVVM vs MVC TradeoffsMedium

Evaluates your understanding of mobile architecture patterns and practical decision-making.

cachingmvvmZwift
Payments System DesignHard

Assesses your system design skills for building a reliable payments architecture.

designZwift
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Database Indexing Trade-offsHard
Practice
Practice drill

Compare PostgreSQL index strategies by read latency, write overhead, storage size, and an overall cost score.

Trade-offsdatabase optimizationdatabase managementHHostinger InternationalPPorch GroupCapital Technology Group
Database Trade-Offs for DetectionHard
Practice
Practice drill

Compare financial crime detection architectures using joined run metrics, aggregates, NULL handling, and ordered performance results.

fraud detectionTrade-offsdistributed databasesDeloitte
Segment Data for Rule EffectivenessMedium
Practice
Practice drill

Segment application data to measure a new fraud rule’s impact across approval and decline outcomes.

fraud detectionData WranglingperformanceIntuit
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.