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Updated weekly · Last refresh Oct 17

Loft Orbital Backend Engineer Interview Questions

The questions to prepare for a Loft Orbital Backend Engineer interview. Questions from real interview reports rank first. Updated daily.

28questions
~4htotal time
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1
ExecutionStart here. 4 questions · ~32 min
Trade-Offs Between Backend FrameworksMedium

Evaluates your ability to choose backend frameworks based on constraints and requirements.

Trade-offsLoft Orbital
Production REST API DevelopmentMedium

Assesses API design and production readiness practices.

api designLoft Orbital
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2
System Design11 questions · ~88 min
Satellite Scheduling Conflict ResolutionHard

Evaluates system design for scheduling conflicts in satellite operations.

Conflict ResolutionLoft Orbital
Microservices for Mission OperationsHard

Tests your ability to design microservices aligned to mission operations needs.

architecturemicroservicesLoft Orbital
Real-Time Telemetry ProcessingHard

Tests real-time system design thinking for high-volume telemetry workflows at an aerospace company.

system designLoft Orbital
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3
Behavioral & Leadership10 questions · ~80 min
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4
More topics3 questions · ~24 min
Optimizing a Python AlgorithmMedium

Evaluates your performance optimization process and measurement discipline.

performancepythonLoft Orbital
Concurrency in High-Throughput ServicesMedium

Assesses your concurrency control methods under heavy load.

concurrencyLoft Orbital
High-Frequency Scheduling Query OptimizationMedium

Evaluates SQL performance tuning for time-sensitive scheduling workloads.

database optimizationSchedulingLoft Orbital
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Debug and Optimize SQLHard
Practice
Practice drill

Debug and optimize a PostgreSQL aggregation over millions of invoice and line-item records.

database optimizationJoinsperformanceIntuit
Optimizing Window Functions at ScaleHard
Practice
Practice drill

Optimize a PostgreSQL window query by reducing rows before cumulative account-level transaction calculations.

Window Functionsdatabase optimizationlarge datasetsPlaid
SQL Query ReviewHard
Practice
Practice drill

Identify performance, security, and SQL anti-patterns in a Mercury payment query and propose a safe executable revision.

database optimizationJoinsperformanceMercury
The finish line: interview-readyComplete all 28 questions plus 3 hands-on drills to finish this plan.