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Okta Software Engineer Interview Questions

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

50questions
~7htotal time
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1
CodingStart here. 15 questions · ~127 min
Solve Rotten Oranges ArrayMedium
Practice

Use multi-source BFS for rotten oranges and a sliding window for the longest array segment with at most k distinct values.

Problem SolvingArray ManipulationOkta
Flatten JSON and Weighted AverageMedium
Recently asked

Tests your data parsing, transformation, and aggregation skills.

Data Manipulationjson parsingAlgorithmsOkta
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2
System Design14 questions · ~118 min
Explaining Message Queue ArchitectureMedium

Evaluates understanding of asynchronous messaging patterns and system design trade-offs.

architectureOkta
Message Brokers Under High ConcurrencyMedium

Assesses knowledge of throughput, latency, and concurrency control in messaging systems.

concurrencyOkta
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3
Pipelines3 questions · ~25 min
Object-Based Inline Computation RisksHard

Assesses ability to design efficient data processing and manage memory constraints.

memory managementdata processingOkta
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4
Security & Infrastructure8 questions · ~68 min
Prevent Cross-Site ScriptingMedium

Assesses security fundamentals and your ability to apply XSS mitigations.

web securityOkta
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5
Execution4 questions · ~34 min
Per-Domain Prioritization in Jira CloudHard

Evaluates practical consulting-style solution design for Jira Cloud and prioritization workflows.

Project ManagementOkta
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6
Behavioral & Leadership4 questions · ~34 min
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7
More topics2 questions · ~17 min
Database Optimization StrategiesMedium

Evaluates understanding of query and storage optimization techniques.

database optimizationperformanceOkta
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Average Selling PriceMedium
Practice
Practice drill

Calculate weighted average selling prices by product using a date-range join, aggregation, and NULL handling.

leetcodesqlCostarCostar Group
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
Unify Campaign Performance SourcesMedium
Practice
Practice drill

Use CTEs, joins, aggregations, and CASE logic to combine Salesforce, Marketo, and Google Analytics into one monthly campaign report.

Data WranglingperformanceReconciliationPalo Alto Networks
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.