Algorithms, system design, and behavioral questions. How the bar at Yandex, Tinkoff, and Avito shifted for engineers this year.
Technical interviews at Russian Big Tech got noticeably harder in 2026 for one reason: competition for good roles went up while hiring budgets shrank. When a single opening gets 300+ applications, companies are forced to filter more aggressively. The good news: the interview structure has become more predictable — and you can study it.
Expecting LeetCode Hard problems on the first technical screen is paranoia. Most companies stay in the Easy–Medium range with an emphasis on understanding data structures: arrays, hash tables, trees, graphs, basic DP. The point isn't to solve it perfectly but to show your thought process: clarify the problem, state the time complexity, propose an optimization. The interviewer is assessing engineering craft, not how fast you can Google.
The classic "design Twitter" prompt is giving way to more business-oriented scenarios: "design a notification system with delivery guarantees," "how would you build an anti-fraud pipeline." Key topics: the CAP theorem in practice, message queues (Kafka / RabbitMQ), database sharding and replication, CDNs and caching at different layers. The skill most candidates lack: agreeing on requirements and constraints first, then drawing the architecture.
“A system design interviewer isn't waiting for the right answer — there is no right answer. They're waiting for you to ask the right questions.”
Everyone knows the STAR method (Situation, Task, Action, Result) — which is exactly why Big Tech interviewers learned to see through it long ago. They ask follow-ups: "What would you do differently?", "How did you know this was your responsibility?", "Were there disagreements on the team?" Prepare living situations with reflection, not dry stories. Companies want to hire people who learn from mistakes, not people who always did everything right.
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