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Curated practice for Meta's E5 loop - heavy on system design and senior-level behavioral signal.
Meta's E5 loop is one of the more demanding in the industry. Two coding rounds at Hard difficulty (or Medium with deep follow-ups), two system design rounds (one product-flavored, one infra-flavored), and a behavioral round with senior-level expectations. At E5, you're expected to drive system design conversations, not just respond. The behavioral round screens for impact, strategic thinking, mentoring, and conflict navigation - 'I shipped a feature' is not enough; you need stories about steering teams, navigating ambiguity at scale, and recovering from failure. Meta runs a tight 2-day onsite (or virtual equivalent), so stamina and pacing matter.
Two design rounds at E5. Practice both product-flavored (news feed, messaging, photo sharing) and infra-flavored (rate limiter, distributed cache, queue). Drive the conversation - silence is a negative signal.
Two coding rounds, each with two problems. Pace is the real test - you should finish both problems with time for follow-ups. Hard difficulty or Medium with deep follow-ups is the norm.
Trees, graphs, heaps, hash maps, intervals. Meta loves graph problems and tree DP - know these cold.
E5-level signal. Stories about driving impact across teams, mentoring, navigating conflict, recovering from failure. 'I shipped a feature' is below the bar - stretch to stories about influence.
Comes up in system design - sharding, replication, hot partitions, consistency models. Rare as a standalone topic.
Light coverage in infra system design rounds. Process vs thread, memory layout, file system basics. Useful to have but not deeply tested.
Curated walkthroughs for the bounded designs that show up in Meta's system design rounds. Capacity estimation, architecture, deep-dives, and trade-offs.
The classic write-vs-read amplification trade-off. Push, pull, or hybrid fanout - and how to handle the celebrity user with 100M followers.
Long-lived connections, ordering guarantees, presence, and the difference between 1:1 chat and a 50K-member group.
Encoding ladders, adaptive bitrate, CDN economics, and the difference between live and VOD. Petabyte-scale storage meets millisecond-scale playback.
Consistent hashing, eviction, replication, and what really happens when a single hot key takes down the cluster.
Five algorithms, three sharding strategies, one fail-open vs fail-closed decision. The bounded design that surfaces in every backend interview loop.
Geo-indexing, real-time matching, ETA prediction, and surge. The canonical geo-spatial design problem with hard real-time constraints.
Sample STAR answers, common prompts, pitfalls, and follow-up strategies for the behavioral themes that decide Meta's loop.
Tested at every level, scored harder at senior. Did you take responsibility for outcomes - or just for tasks?
The most universal behavioral question. Tested everywhere. The signal is in how you investigate the disagreement, not in how you 'won.'
Microsoft's Growth Mindset core. Also tested at Google, Anthropic, and any company that screens for self-awareness. The signal is whether you actually changed.
Tested at Google, Anthropic, OpenAI, and any senior+ loop. Strong candidates show how they get curious; weak candidates show how they get anxious.
Total comp ranges, base, equity, and bonus across the levels tested in this loop. Aggregated from public sources.
5 SWE levels covered. Updated 2026-05.
346 MCQs and 231 coding challenges, grouped by topic. Free preview shows question titles - premium unlocks full content.
Behavioral and system design rounds reward practice with a live AI interviewer that probes follow-ups, not silent reading.
Start an AI mock interview →E4 is mid-level (3-5 YOE). E5 is senior (5-8 YOE) and the level at which Meta expects you to operate independently and drive technical decisions. The interview bar at E5 is significantly higher: harder coding problems, deeper system design follow-ups, and behavioral stories about influence and impact, not just execution.
Pace ruthlessly. Spend 2-3 minutes clarifying, code in 12-15 minutes, walk through with one example, move to the next problem. The interviewer will help with hints if you're stuck - take them quickly. Practice with a timer and force yourself to move on. Most candidates over-explain and run out of time.
Meta expects you to drive. Many candidates wait to be asked questions - that's a negative signal. You should clarify scale, sketch a high-level architecture, then walk through components proactively, calling out trade-offs as you go. The interviewer is evaluating whether you would be able to lead a real design discussion at the company.
Critical at E5. 'I improved performance' scores poorly. 'I reduced p99 latency from 800ms to 200ms across our 5M-user product surface, which lifted retention by 2%' scores well. Senior-level signal requires you to know your numbers and tie work to business outcomes.
News feed, messaging (DMs, group chats), photo/video sharing, live streaming, notification systems, and recently, ads ranking and recommendation systems. All of these have real Meta products behind them - reading public engineering blog posts about how Meta builds these gives you legitimate study material.
Recruiter screen to offer typically 6-10 weeks. Onsite is usually compressed to one or two days. Hiring committee review is fast (1 week). Team matching can add 2-4 weeks. Plan for 8-12 weeks total. Many candidates run multiple loops simultaneously - Meta is OK with this.