Data structures & algorithms
Arrays, strings, linked lists, stacks, queues, trees, graphs, hashing, sorting, searching, and complexity.
Software engineer interview questions
Evaluate data structures, algorithms, OOP, system design, databases, coding ability, testing, security, performance, and practical software-engineering problem solving.
Skill signals
Use structured software-engineering questions, coding scenarios, architecture prompts, and scorecards to assess job-ready knowledge.
Arrays, strings, linked lists, stacks, queues, trees, graphs, hashing, sorting, searching, and complexity.
Scalability, APIs, microservices, caching, load balancing, queues, consistency, and architectural trade-offs.
Encapsulation, abstraction, inheritance, polymorphism, SOLID principles, patterns, and maintainable design.
SQL, NoSQL, schema design, joins, indexes, transactions, normalisation, and query optimisation.
Problem solving, clean code, correctness, edge cases, complexity, refactoring, and language fluency.
Unit, integration and end-to-end testing, TDD, mocks, test design, automation, and code quality.
Authentication, authorisation, encryption, OWASP risks, secure coding, validation, and threat awareness.
Profiling, memory usage, concurrency, latency, throughput, optimisation, and reliability.
Assessment flow
Keep evaluation fair, focused, and connected to the next hiring decision.
Choose questions that match junior, mid-level, or senior software-engineering responsibilities.
Use the same structured interview set across candidates in the same hiring stage.
Evaluate coding depth, architecture choices, debugging ability, trade-off reasoning, and communication.
Use scorecards and notes to compare candidates and plan follow-up discussions.
Score breakdown
Use cases
Evaluate coding, design, data, testing, and problem-solving knowledge during technical interviews.
Assess backend, platform, distributed-system, infrastructure, and product-engineering expertise.
Explore architecture, trade-offs, scalability, reliability, ownership, and mentoring depth.
Hire with evidence
Use curated questions, coding scenarios, debugging prompts, and consistent scorecards to make confident hiring decisions.