By Mockly English · Last updated:
He had not applied yet. He was already training as if the Meta referral were this week.
At a glance
| Role | Software engineer (senior target; also considering quant) |
|---|---|
| Region | London (9+ years) |
| Starting Point | Heavy LeetCode; spoken delivery untested |
| Target | Meta (referrals), Amazon, Apple |
| Outcome | Mocks for Meta’s 2-mediums-in-45-minutes format |
Timeline
Meta + Amazon + Apple
Focus
2 mediums / 45 minutes
Outcome
Senior SWE target
Practice technical, behavioral & system design interviews with interactive lessons and native-speaking coaches
500+ tech pros preparing for global roles
“I have seen the top Meta questions. I still need to solve a familiar problem out loud without freezing.”
He had lived in London for nine and a half years and had people who could refer him to Meta. He had not applied. He had memorised a large set of Meta-tagged problems and still needed the English to solve a problem he had seen before — out loud — in 45 minutes with two mediums. System design and behavioral were on the list too. Quant roles were a parallel track. The risk was sending the referral cold, with silent LeetCode and no spoken reps.
The hour looked like Meta coding: a problem he might have seen, no full solution from the coach, English on the narration. System design and behavioral rotated in so the first onsite would not be the first time he spoke those formats.
Useful references along the way: What to expect in English interviews, STAR interview framework.
Before coaching
After coaching
FAANG or similar: Amazon, Meta, Apple, senior engineer. No people-management pitch — deliver value. He wanted mocks that did not hand him the full solution. Hello Interview and similar resources were already in the mix. Coaching had to feel like the round, not a tutorial.
Session snapshot
| Meta coding format | 2 mediums in 45 minutes |
|---|---|
| Status | Referrals available; applications not sent yet |
| Targets | Meta · Amazon · Apple · senior / quant |
The notes stop before an offer — he had not applied yet. The work was to make the Meta coding round, and the design and behavioral rounds around it, something he had already done in English. That is the honest outcome: readiness before the referral is used.
Meta coding rounds grade communication as much as patterns. Living in London does not automatically produce that skill. Referrals expire in quality if the first live round is also the first spoken round.
Preparing for a similar path? Read How a UAE-Based Backend Engineer Prepped for Meta in English.
Practise explaining system design in English
No card required. Start with a 7-day free trial — a lesson, a mock interview, or both.
Create your Mockly account →Time two mediums, narrate as you go, and do not look up the full solution. Feedback should target pauses and skipped complexity.
If referrals are waiting, get a few honest mocks first — then apply. Endless lists without a live round is stalling.
Not if you are not a manager. Prepare delivery and impact stories instead.
At Meta-style senior loops, yes. Practise it in English even if coding is the fear.

Mockly knows what it takes to get hired. The preparation covers behavioral, algorithm, and system design interviews thoroughly — with real expertise in the STAR method, LeetCode, and Alex Xu’s system design frameworks. And when it comes to English and communication skills, the native-speaking mentors make all the difference.

I’ve had the pleasure of practicing English with Mockly and I truly appreciate the progress I’ve made. I highly recommend their services to professionals in tech and beyond. I particularly enjoy the teaching style and the philosophy behind it: “If you enjoy the process, you’ll get it.” The personalized learning plans make every session practical and useful. Their hands-on knowledge and genuine interest in the world of technology will genuinely boost your English skills.
A backend engineer in the UAE was looping Meta, Amazon, and Adobe. Coaching focused on behavioral English — then he joined Revolut.
A Zurich MLOps engineer had already passed Meta’s coding screen. Fluency under pressure was the gap. Coaching focused on ML system design and behavioral rounds — then he got the offer.
Case studies are illustrative, based on patterns from real coaching sessions.