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Updated weekly · Last refresh Aug 30

Headspace Backend Engineer Interview Questions

The questions to prepare for a Headspace Backend Engineer interview. Questions from real interview reports rank first. Updated weekly.

32questions
~5htotal time
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1
ExecutionStart here. 5 questions · ~43 min
Balance Debt and Feature DeliveryMedium

Explain how you prioritize technical debt versus feature work while aligning stakeholders and protecting delivery speed.

Trade-offsScope ManagementPrioritizationHeadspace
Maintaining Code Quality FastMedium

Evaluates your engineering practices for quality, reliability, and maintainability under speed pressure.

best practicescode qualityHeadspace
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2
System Design14 questions · ~119 min
Scalable B2B Authentication ServiceMedium

Tests your ability to design secure, scalable auth for B2B workloads and real-world constraints.

authenticationscalabilityHeadspace
Designing for Dependency FailuresHard

Evaluates your resilience patterns for handling cascading failures across dependent services.

distributed systemsHeadspace
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3
Behavioral & Leadership9 questions · ~77 min
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4
More topics4 questions · ~34 min
Clock Hand Angle CalculationEasy
Practice

Compute the smaller angle between clock hands using math, while handling boundary and normalization edge cases.

Mathbasicsedge casesHeadspace
Consistency Across Service PipelinesMedium

Approach for keeping pipeline outputs consistent when multiple microservices publish overlapping, delayed, or duplicate data.

system designdata consistencymicroservicesHeadspace
Optimizing High-Concurrency QueriesMedium

Tests your database performance optimization skills under load and contention.

queriesdatabase optimizationHeadspace
Testing Mission-Critical ServicesMedium

Assesses your testing strategy for correctness, coverage, and confidence in critical backend systems.

TestingHeadspace

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
7-Day Rolling DAU on FacebookMedium
Practice
Practice drill

Compute daily distinct active users and a 7-day rolling average using a CTE and window function.

ActivisionStripePyramid Consulting
Eventual ConsistencyMedium
Practice
Practice drill

Find catalog items that were updated in the source but not yet reflected in Spotify's serving layer.

data consistencySpotifyDatabricks
Pivot Lucid Campaign Performance by MonthMedium
Practice
Practice drill

Use joins, a CTE, CASE expressions, and monthly pivoting to compare Lucid campaign performance across channels.

pivot tablesnull handlingData WranglingLucid Motors
The finish line: interview-readyComplete all 32 questions plus 3 hands-on drills to finish this plan.