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Algorithms & data structures
Architecture & scalability
Practice interviews modeled after
A security-focused technical interview for mid-level engineers at a digital bank — covering JWT, OAuth2, session management, and common vulnerability prevention.
A foundational technical interview for junior Node.js engineers covering REST APIs, Express.js, async patterns, and basic error handling.
A foundational behavioral interview for junior engineers. Covers how you work with others, handle feedback, approach problems you don't know the answer to, and communicate under pressure.
A mid-level technical interview focused on PostgreSQL, database design, indexing strategy, and Redis caching for high-throughput payment systems.
A senior-level behavioral interview probing leadership, conflict resolution, technical decision-making, and how you operate under ambiguity. STAR format expected throughout.
Meta-style coding interview with graph traversal, dynamic programming, and hash-map problems reflecting Meta's real interview bank.
Amazon-style system design interview focused on distributed systems at AWS scale — expect leadership-principle tie-ins with high scalability demands.
A staff-level system design interview on microservices architecture — service decomposition, inter-service communication, distributed tracing, saga patterns, and org-level trade-offs.
A mid-level GraphQL technical interview covering schema design, resolvers, the N+1 problem, DataLoader, subscriptions, and API security — modelled on Shopify's backend screening.
A mid-level technical interview for Go backend engineers. Covers goroutines, channels, interfaces, error handling patterns, and building production-grade HTTP services.
A deep technical interview on Node.js internals, performance profiling, and scalability for senior engineers. Covers the event loop, memory management, clustering, and high-throughput optimisation.
A hard system design interview simulating a Google SWE senior loop. Design real distributed systems from scratch with deep emphasis on trade-offs, failure modes, and scale.
Design Google Bigtable's distributed wide-column store covering SSTable layout, compaction, tablet serving, and strong consistency.
Design Kafka's distributed log architecture covering partitioning, replication, consumer groups, and exactly-once semantics.
Design a distributed coordination service covering leader election, distributed locks, configuration management, and service discovery.
Six things that separate a good candidate from a hired one.
Interviews tailored to specific backend tech stacks like NodeJs, Go, Python, Rust, etc.
Question banks derived from actual technical benchmarks at top-tier tech companies.
Interactive code editor to practice and build your take-home project for high-level design and architectural decision making.
Get a comprehensive score across communication, code quality, and problem-solving.
Visualize your growth over time with detailed heatmaps and area-specific tracking.
Optional 1-on-1 sessions with principal engineers for high-stakes interview prep.

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