Interview prep by company

Amazon interviews are famously Leadership-Principles-driven. Half the loop is behavioral, scored against the 16 LPs with the STAR method.

Google leans hard on algorithmic depth and clean problem-solving. Expect rigorous coding and a "Googleyness & Leadership" round.

Meta runs a fast, signal-dense loop: tight coding rounds, a product-flavored system design, and a behavioral round on impact and speed.

Apple interviews are team-specific and detail-obsessed. Expect deep technical questions tailored to the exact role plus strong collaboration signals.

Microsoft balances solid coding with collaborative, growth-mindset behavioral signals. The bar is approachable but thorough.

Netflix hires senior. Expect high autonomy expectations, deep system design, and a strong culture fit against the famous culture memo.

Stripe is known for pragmatic, real-world interviews: an integration/bug round, API design, and rigorous behavioral on craft and users.

OpenAI blends strong engineering with ML/AI systems depth. Expect practical coding, ML system design, and high-ownership behavioral signals.

Anthropic emphasizes thoughtful engineering, AI-systems literacy, and strong written/verbal reasoning alongside practical coding.

Uber runs a classic big-tech loop with a strong real-world systems flavor — think marketplaces, geo, and high-throughput services.

Databricks interviews skew toward data-intensive systems, strong coding, and (for many roles) distributed-systems and data-engineering depth.

Airbnb is known for a strong frontend/full-stack flavor, real-world coding, and a distinctive core-values behavioral round.