Company interview guides
How to prepare for frontend engineering interviews, company by company. The rounds, the levels, what each team actually looks for, and how to crack and master each one — synthesised from public engineering blogs, published level frameworks and widely cited interview reports.
No insider knowledge, no NDA-sensitive specifics. Just what's public, read carefully.
- AT
Atlassian
6 rounds · 3 level breakdowns
Jira, Confluence, Trello, Bitbucket. A frontend culture built around collaborative, multi-user products.
Real-world product buildingMulti-user, collaborative UXDesign-system fluencyRead the guide - GL
GitLab
5 rounds · 3 level breakdowns
The all-remote DevOps platform. Vue/TypeScript. Deep culture of async handbook-first collaboration.
Async-first collaborationVue 3 depthDevOps-shaped product thinkingRead the guide - MS
Microsoft
5 rounds · 3 level breakdowns
VS Code, Teams, Azure Portal, Office web. One of the broadest frontend footprints in the industry.
Breadth and depthFluent UI awarenessAccessibility seriouslyRead the guide - GO
Google
5 rounds · 3 level breakdowns
Search, Gmail, YouTube, Workspace, Cloud Console. The DSA bar is the famous part; the rest matters too.
Algorithmic reasoningSystem designGoogleynessRead the guide - ME
Meta
5 rounds · 3 level breakdowns
Facebook, Instagram, WhatsApp, Threads, Messenger. The frontend org that invented React — and that still shapes the discipline.
React depthUI building fluencyAlgorithmic barRead the guide - AM
Amazon
4 rounds · 3 level breakdowns
Retail, AWS Console, Alexa, Prime Video. One of the largest frontend footprints — with Leadership Principles at the centre of every round.
Leadership PrinciplesWorking-backwards product thinkingOwnershipRead the guide - ST
Stripe
6 rounds · 3 level breakdowns
The payments platform. A frontend culture built around trust, correctness, and dense product surfaces.
Correctness-firstDense UI craftWritingRead the guide - NF
Netflix
4 rounds · 2 level breakdowns
The video-streaming platform. A famously high-leverage, high-autonomy engineering culture.
Autonomy and judgementSenior-onlyMedia performanceRead the guide - AB
Airbnb
5 rounds · 3 level breakdowns
The marketplace for stays and experiences. A design-forward frontend culture — the home of 'React Hotels', the DLS, and famously high production craft.
Design-system fluencyDense product-shaped UICore values roundRead the guide - AP
Apple
4 rounds · 3 level breakdowns
App Store, Developer, iCloud web, Apple TV+ web, internal tooling. A design-first culture where the frontend bar is explicitly about craft.
CraftAccessibilityFundamentalsRead the guide - NV
Nvidia
6 rounds · 3 level breakdowns
GPUs, CUDA, Omniverse, developer portal, AI tooling UIs. A frontend culture at the intersection of graphics, performance and dense technical content.
Performance obsessionDeep technical content UIWebGL / WebGPU awarenessRead the guide - AN
Anthropic
6 rounds · 3 level breakdowns
Claude, the Claude app, the Claude Code CLI, the Console. An AI-safety-first culture with a growing frontend footprint and a visibly thoughtful hiring bar.
ThoughtfulnessStreaming/LLM UXWriting cultureRead the guide - LI
LinkedIn
6 rounds · 3 level breakdowns
The professional network. A frontend culture rooted in Ember historically, now broadly on React, with heavy craft on content-dense surfaces.
Content-dense UIScaleValues-based behavioural roundRead the guide - UB
Uber
6 rounds · 3 level breakdowns
Rides, Eats, Freight, driver apps, maps, dashboards. A frontend culture built around real-time data and operational dashboards.
Real-time dataMap-centric UIDense operational dashboardsRead the guide - SH
Shopify
6 rounds · 3 level breakdowns
The commerce platform. React/TypeScript across admin, storefront, and a mature design system (Polaris). Craftsmanship + merchant empathy.
Dense merchant-facing UIPolaris fluencyCommerce-shaped product thinkingRead the guide - DD
Datadog
6 rounds · 3 level breakdowns
Observability platform. React/TypeScript across dashboards, metrics, logs, APM, synthetic monitoring. Dense data viz at operational scale.
Dense data vizOperational empathySRE-style thinkingRead the guide - FG
Figma
6 rounds · 3 level breakdowns
Design tool platform. One of the most performance-engineered web frontends in production — canvas, multi-user real-time, WebAssembly.
Canvas / render loop depthWebAssembly / performanceMulti-user / CRDT thinkingRead the guide - LN
Linear
5 rounds · 2 level breakdowns
Issue tracker for software teams. Famously high craft bar on a smaller eng team — the opinionated, keyboard-first, local-first productivity app.
CraftsmanshipLocal-first thinkingKeyboard-first designRead the guide - DB
Databricks
5 rounds · 3 level breakdowns
Lakehouse data platform. React/TypeScript across notebooks, dashboards, SQL IDE, ML workflows. Dense technical UI for data engineers.
Technical UI depthCollaborative editingDSA barRead the guide - FK
Flipkart
5 rounds · 3 level breakdowns
India's largest e-commerce platform. Scale defined by Big Billion Days — a frontend that handles crore-user bursts.
Scale under India network conditionsDense product-listing UIDSA barRead the guide - RZ
Razorpay
5 rounds · 3 level breakdowns
India's leading payments platform. The Stripe-adjacent culture — correctness, dense dashboard surfaces, developer-first product.
Payments correctnessCheckout UXDeveloper-firstRead the guide - SW
Swiggy
5 rounds · 3 level breakdowns
India's largest food-delivery platform. Real-time map, dense restaurant listings, time-sensitive UX. React/TypeScript on web.
Real-time location + mapDense product listingsMobile-firstRead the guide - PP
PhonePe
5 rounds · 3 level breakdowns
India's largest UPI payments app. Massive scale, mobile-first web, cross-functional product surfaces (payments, bills, insurance, mutual funds).
Massive consumer scalePayments correctness and trust.Mobile-first webRead the guide
Universal: behavioural interview prep
Every loop above has a behavioural round. The behavioural prep guide covers the STAR framework, 15 common questions with how-to-answer breakdowns, and how to map your stories to each company's value framework (Amazon LPs, Google Googleyness, Microsoft growth mindset, Atlassian values, GitLab CREDIT, Netflix culture deck, and so on).
More companies coming
Guides being written: Shopify, Datadog, Figma, Linear, Databricks, Snowflake, Flipkart, Razorpay, Swiggy, PhonePe. If you're prepping for a company not listed, the universal advice in the system-design lessons and the FE Interview Essentials path still applies.