Active engineers from Google, Meta, Netflix & Amazon

Your Path toBig Tech Engineering

Get personalized mentorship, mock interviews, and referrals to land your dream job.

Follow us

Carefully chosen mentors to guide and support you

Job application support & referrals

Mock interview preparation

Resume prep and improvements

Community of likeminded engineers

Mentors from world-class engineering teams
Google
Meta
Amazon
Netflix
Uber
Stripe
Microsoft
Apple
Airbnb
Google
Meta
Amazon
Netflix
Uber
Stripe
Microsoft
Apple
Airbnb
Google
Meta
Amazon
Netflix
Uber
Stripe
Microsoft
Apple
Airbnb
Google
Meta
Amazon
Netflix
Uber
Stripe
Microsoft
Apple
Airbnb
HOW IT WORKS

How it works

From practice to placement, step by step.

Step 01

Platform & Analytics

Start by finding your blind spots. The platform analyzes your solving speed and patterns to create a personalized plan.

Step 02

Technical Foundation

Deep dive into algorithms. Solve 15-20 problems per week focusing on patterns, from Arrays to Dynamic Programming. Duration adapts to your starting level.

Step 03

System Design

Move from code to architecture. Learn scaling, load balancers, and databases using real-world cases.

Step 04

Resume & Behavioral

Package your experience for ATS, prepare STAR format stories, and conduct regular peer-to-peer mock interviews.

Step 05

Deployment Strategy

Build an effective mass-apply strategy. We help with applications, interview prep, and salary negotiation to maximize your offer.

Who is Electi for?

Where you are now, and where you'll be.

Pick the track that sounds like you. Both cover algorithms, system design and getting in front of companies.

For you if:1+ year as a developerNo system yet, or under ~150 problems solved10–15 hours a week to prepare

Now

Lots of effort. No system.

Algorithms

You solve random LeetCode problems and forget them a week later.

System design

You've never designed anything bigger than your team's service.

Applying

Your resume gets filtered out, and you're not sure where to apply.

Preparation

No plan, just a feeling that you're behind.

Your 'progress'

Activity exists. Clarity doesn't.

After 7 months

A system that gets you ready.

Algorithms

You spot the pattern and solve mediums under time pressure.

System design

You can walk through scaling, caching and databases on real cases.

Applying

An ATS-ready resume, 5–10 STAR stories and a list of target companies.

Preparation

A weekly plan checked by a mentor, and progress you can see.

Your track

W1Arrays & Two Pointers
Confident
W9Trees & Graphs: BFS/DFS
Has gaps
M7System design: URL shortenerNow

Real engineers. Real offers.

Google. Meta. Amazon. Bloomberg. Your mentor didn't just study for these interviews. They passed them, and now work there.

Sultan Rzagaliyev

Sultan Rzagaliyev

Software Engineer @Meta

London, UK

Bloomberg LondonBloomberg NYGoogle Kraków

Full-stack engineer with a textbook Big Tech arc: rejected by Meta and Yandex in Year 1, he doubled down on algorithms and LeetCode. Within a year: Bloomberg London → Bloomberg NY → Google Kraków → offers from Meta, Google, and Bloomberg, all in London.

“I wasn't an olympiad winner, didn't get straight A's, and wasn't the smartest. But at some point I had a strong desire to become better. I put in a lot of effort and that opened many doors.”
Almaz Zinollayev

Almaz Zinollayev

Machine Learning Engineer @Ex-Meta

London, UK

Ex-Lyft

Machine Learning Engineer at Two Sigma in London. Previously worked at Meta and Lyft, bringing extensive experience in building scalable ML systems and performance optimization.

Timur Umayev

Timur Umayev

Engineering Manager @Google

London, UK

Ex-MetaEx-Booking.com

Leads a mobile product team at Google London. Each career move, from Booking.com to Meta to Google, was a deliberate bet on growth. Chose London for its dense tech ecosystem and the calibre of engineers around him.

“Preparation should become a habit. What matters most is the candidate's inner drive to constantly improve.”
Unfiltered feedback

Real progress. In their own words.

Messages from students currently in the program.

S
ShokhrukhFoundation · Month 2

Before this I could barely solve algorithm problems, my background was mostly ML and SQL. Now I'm getting through every topic we cover. The mock interview part especially. And I manage to combine it with full-time work.

14:02
Y
YernurFoundation student

If you already know some DSA it moves fast, which is good. The only hard part is finding time when you work and study simultaneously. But the intensity, that's exactly the point.

15:45
G
GalymAccelerator student

Main thing I'm realizing: I need to stop relying on test runs to debug, interviews don't allow that. Mentor caught that gap before I even noticed it. Algorithm stage feels close to handled now.

18:30
R
RomanAccelerator · Month 3
Netflix Interview · Revolut Interview

3 months in and I'm already in interview loops at Netflix and Revolut. First time doing a FAANG-style interview. My mentor called the exact problem that came up in the coding round. I just executed what we practiced.

20:15
S
ShokhrukhFoundation · Month 2

Before this I could barely solve algorithm problems, my background was mostly ML and SQL. Now I'm getting through every topic we cover. The mock interview part especially. And I manage to combine it with full-time work.

14:02
Y
YernurFoundation student

If you already know some DSA it moves fast, which is good. The only hard part is finding time when you work and study simultaneously. But the intensity, that's exactly the point.

15:45
G
GalymAccelerator student

Main thing I'm realizing: I need to stop relying on test runs to debug, interviews don't allow that. Mentor caught that gap before I even noticed it. Algorithm stage feels close to handled now.

18:30
R
RomanAccelerator · Month 3
Netflix Interview · Revolut Interview

3 months in and I'm already in interview loops at Netflix and Revolut. First time doing a FAANG-style interview. My mentor called the exact problem that came up in the coding round. I just executed what we practiced.

20:15
S
ShokhrukhFoundation · Month 2

Before this I could barely solve algorithm problems, my background was mostly ML and SQL. Now I'm getting through every topic we cover. The mock interview part especially. And I manage to combine it with full-time work.

14:02
Y
YernurFoundation student

If you already know some DSA it moves fast, which is good. The only hard part is finding time when you work and study simultaneously. But the intensity, that's exactly the point.

15:45
G
GalymAccelerator student

Main thing I'm realizing: I need to stop relying on test runs to debug, interviews don't allow that. Mentor caught that gap before I even noticed it. Algorithm stage feels close to handled now.

18:30
R
RomanAccelerator · Month 3
Netflix Interview · Revolut Interview

3 months in and I'm already in interview loops at Netflix and Revolut. First time doing a FAANG-style interview. My mentor called the exact problem that came up in the coding round. I just executed what we practiced.

20:15
S
ShokhrukhFoundation · Month 2

Before this I could barely solve algorithm problems, my background was mostly ML and SQL. Now I'm getting through every topic we cover. The mock interview part especially. And I manage to combine it with full-time work.

14:02
Y
YernurFoundation student

If you already know some DSA it moves fast, which is good. The only hard part is finding time when you work and study simultaneously. But the intensity, that's exactly the point.

15:45
G
GalymAccelerator student

Main thing I'm realizing: I need to stop relying on test runs to debug, interviews don't allow that. Mentor caught that gap before I even noticed it. Algorithm stage feels close to handled now.

18:30
R
RomanAccelerator · Month 3
Netflix Interview · Revolut Interview

3 months in and I'm already in interview loops at Netflix and Revolut. First time doing a FAANG-style interview. My mentor called the exact problem that came up in the coding round. I just executed what we practiced.

20:15
Electi Platform

Track every rep. Know when you're ready.

Most engineers prep blind. Electi gives you a real-time pulse on your velocity, pattern gaps, and interview readiness.

platform.electi.io/dashboard

Dashboard

Week 8

Problems Solved

0

Mock Interviews

0

Readiness Score

0%

Weekly Solving Velocity

W1
W2
W3
W4
W5
W6
W7
W8

Pattern Coverage

Arrays & Hashing91%
Trees & Graphs78%
Dynamic Programming62%
System Design54%

Recent Mock Interviews

View all →
System DesignSystem Design: Rate Limiter
8.5
CodingLeetCode Hard: Word Ladder
7.8
BehavioralBehavioral: Conflict Resolution
9.1

Velocity Tracking

See your solving speed improve week over week. Know when you're accelerating, and when to push harder.

Pattern Gap Analysis

Automatically identifies which algorithm patterns need more practice before your next interview.

Interview Readiness Score

A single number that tells you exactly when you're ready to start applying. No guesswork.

Electi Ecosystem

Everything you need for an offer. In one place.

Not just a problem bank. A full-fledged platform with AI analytics, job tracker, CV review, and continuous mentor connection.

Analytics

Data-driven readiness

Forget 'feelings'. The platform tracks your First-try rate, activity streak, and readiness score. AI generates weekly reports on your blind spots.

Review

CV & Behavioral

Upload a PDF and write STAR stories. Your mentor leaves pinpoint comments on every line right in the platform.

Assistant

Bot in your pocket

At 8:00 and 21:00 the bot sends your daily plan. You always know what to do next.

Tracking

Job Applications Tracker

We built a CRM for your job search. Track statuses (OA, Phone Screen, Tech), referrals, and notes right inside the platform.

A

Apple

Software Engineer

Tech Interview
G

Google

Backend SWE

Applied
See your growth

Progress that is impossible to ignore

Every solved problem. Every mentor call. Everything is tracked. You see your growth in real numbers.

14 day streak
810 XP
Level 4
Arrays & Hashing

Steps inside pattern

34 problems · Level 4

84%

mastered

Two Sum & Variants

Solving fast

+80 XP

Group Anagrams

Slight delays with HashSet

+120 XP

Top K Elements

Next step. Platform picked it for you.

Now

What this means for you

Group Anagrams takes 30% longer. This is a signal. Next 2 tasks target exactly this spot.

MENTORSHIP

Prepare with a mentor. All the way to the offer.

Two tracks: start in a small group, or work 1:1 with a Big Tech engineer.

Group · 7 months

Foundation

A solid base in a small group with a mentor.

Engineers with 1+ year of experience who need a system instead of random LeetCode.

from$129/mo

when you pay for all 7 months up front · $150/mo month to month

Cohort enrollment: 6 of 8 seats taken · We start as soon as the group is full.

Learn more about Foundation

What you get

  • 1 workshop per week with material deep dives
  • Bi-weekly personal written feedback from your dedicated mentor
  • Access to private Electi community & mentor group chat
  • Behavioral interview preparation
  • Job application support & referrals

In 7 months you'll have

  • DSA patterns you can apply under interview pressure
  • System design basics: scaling, caching, databases, real cases
  • An ATS-ready resume and 5–10 STAR stories
  • A clear plan for where and how to apply
“My background was mostly ML and SQL. Now I'm getting through every topic we cover, while working full-time.”
Shokhrukh · Foundation · Month 2
Sultan Rzagaliyev
Almaz Zinollayev
Timur Umayev

Mentors: Sultan · Meta, Almaz · Ex-Meta, Timur · Google

1:1 · 12 months

Accelerator

Your own Big Tech mentor, all the way to the offer.

Engineers with 2+ years who need the final push: onsites, system design and referrals.

$300/mo

12 months: 6 active + 6 of placement support

10% Success Fee, only if it works. Paid only after you accept an offer in the US, EU, UK or Canada. A local offer or no offer means nothing extra.

3 mentor slots left · Each mentor takes a limited number of students.

Learn more about Accelerator

What you get

  • From 2 one-on-one mentor sessions per month during the active phase
  • Fully personalized preparation plan
  • Mock interviews with feedback
  • Resume and application strategy
  • Coding + system design curriculum
  • Referrals and placement support in the second half
  • Everything in Foundation, plus a dedicated mentor
“3 months in and I'm in interview loops at Netflix and Revolut. My mentor called the exact problem from the coding round.”
Roman · Accelerator · Month 3
Sultan Rzagaliyev
Almaz Zinollayev
Timur Umayev

Mentors: Sultan · Meta, Almaz · Ex-Meta, Timur · Google

Not sure which one? Start with Foundation. You can move up to 1:1 Accelerator once you're ready.

Prefer to prepare on your own?

Go gives you the full platform without a mentor, from $14/mo.

Start Go
Big Tech pay

What Big Tech pays engineers like you.

Average yearly total compensation: salary, stock and bonus, before tax, in US dollars.

Google

$218K

L4 · London · ~5 yrs of experience

Meta

$191K

E4 · London · ~5 yrs of experience

Amazon

$186K

SDE II · London · ~6 yrs of experience

AppleApple

$173K

ICT3 · London · ~5 yrs of experience

Netflix

$131K

L4 · Poland · ~6 yrs of experience

Microsoft

$126K

SDE II 61 · London · ~3 yrs of experience

Bloomberg

$224K

Senior SWE · London · ~8 yrs of experience

For scale

The whole Foundation program costs $900. A Middle engineer at Google in London earns that before tax in about 1.5 days.

Source: levels.fyi, September 2026. Europe means London, or another European hub where London has too few reports for a level. Grey figures come from the other region.
FAQ

Questions before you apply

Still deciding? Ask an AI.

Open ChatGPT or Claude with the question already written. It reads our site and helps you work out honestly whether Electi fits you, and which track.

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