You just got the email: your technical interview is in seven days. Panic sets in. Whether you have been casually job hunting or got a surprise referral, one week feels impossibly short. But with a focused plan and the right tools, seven days is enough to walk in prepared, confident, and ready to perform.

This guide breaks down exactly what to do each day so you can maximize your preparation without burning out. Pairing this plan with an AI mock interview can help you simulate real conditions and identify weak spots faster than studying alone.

The gap between a Junior and a Senior Software Engineer offer isn’t just years of experience—it’s a fundamentally different way of demonstrating value. Today, companies like Google, Meta, Amazon, and fast-growing startups all define “Senior” with one common thread: the ability to reason about trade-offs, communicate decisions clearly, and elevate the team around you.

If you’re targeting your first Senior-level offer (L5 at Google, E5 at Meta, Senior SWE at a Series B+), this is your complete interview playbook.

System design interviews are where senior engineering careers are made or broken. FAANG-tier companies have shifted their system design expectations dramatically—it’s no longer enough to sketch a generic microservices diagram. Interviewers now expect candidates to reason through trade-offs with the precision of a staff engineer.

This guide walks through the most commonly asked FAANG system design questions, the frameworks that separate “good” from “great” answers, and how to leverage modern tools to sharpen your preparation.

Remote interviewing is now the norm, not the exception. Many first-round technical interviews at top tech companies are now conducted virtually. While this removes the stress of commuting to an office, it introduces a whole new set of challenges: unstable audio, screen-sharing glitches, and the psychological isolation of performing alone at a desk.

This guide breaks down everything you need to dominate your next remote technical interview—from hardware setup to cognitive strategy.

In 2025, the “System Design” round for senior AI roles has evolved beyond simple load balancers and databases. Interviewers now expect you to design systems that handle the non-deterministic nature of Large Language Models (LLMs) while maintaining production-grade reliability and latency.

The challenge isn’t just “calling an API”—it’s building the infrastructure around it.

The 2025 AI Architecture Stack

A modern LLM system design focuses on three core pillars: Inference Optimization, Retrieval Strategy, and Observability.

In 2025, Stripe remains one of the most prestigious and challenging engineering cultures to break into. Unlike the standard “LeetCode-grind” prevalent at many FAANG companies, Stripe has pioneered a more practical, craft-oriented approach: the Integration Interview. This format tests your ability to read documentation, work with external APIs, and build functional, idiomatic code that solves real-world business problems.

To succeed at Stripe in 2025, you need to shift your mindset from “solving a puzzle” to “building a product.”