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Software Engineering
Interview Prep Bootcamp

8 Weeks to Mastery · Real Interview Questions · FAANG-Ready Skills

Become the Engineer Top Companies Are Looking For

In just 8 weeks, transform into a confident, interview-ready software engineer, prepared to crack interviews at Google, Meta, Netflix, and other top tech companies.

This isn't another passive online course. This is a rigorous, instructor-led bootcamp designed to deliver real results through hands-on practice, personalized feedback, and a proven curriculum grounded in real-world engineering interviews.

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Next Cohort Starts:In 2 WeeksLimited Seats

How long does it take to prepare for a software engineering interview?

Most engineers need eight to twelve weeks of focused preparation for a software engineering interview if they already code for a living, and four to six months if they are learning data structures and algorithms from scratch. The variable that decides the timeline is not hours logged, it is whether the practice is structured, timed and reviewed by somebody who has run these interviews.

This bootcamp is built around the shorter end of that range. Eight weeks, live instructor-led classes rather than pre-recorded video, daily check-ins for accountability, and detailed feedback on homework so a bad habit gets caught in week two instead of surviving until your onsite.

If data structures are genuinely new to you, the honest answer is that eight weeks is not enough to learn them and rehearse a loop at the same time. Build that base first, then come back. We would rather tell you that at the application stage than halfway through a cohort.

Bootcamp at a glance

Who it is for
New grads, job seekers brushing up core CS concepts, and experienced engineers who feel rusty or are returning after a gap
Prerequisites
Comfortable writing code in at least one language. The curriculum starts at fundamentals but moves at interview pace
Format
Live, instructor-led classes. No pre-recorded videos, with daily check-ins and accountability
Cohort size
Fewer than 10 students, so questions get answered in the session
Duration
8 weeks
Practice volume
50+ real coding questions and 5+ real-world system designs
Mock interviews
1:1 mock interviews for both DSA and system design, plus detailed homework feedback
Instructors
Ex-Google and ex-Facebook engineers who have interviewed hundreds of candidates
Next cohort
Starts in 2 weeks, with limited seats and early applicants prioritised
Outcome
Full interview readiness in 8 weeks: coding, system design and a rehearsed explanation of both

Hear From Our Alumni

Real results from engineers who completed our bootcamp and landed their dream roles.

Got my offer from Facebook within 2 months. The mock interviews and system design drills made all the difference.

Shawn

Software Engineer (iOS) @ Meta

This is the bootcamp that finally helped me break into Google. Worth every minute.

Smit

Software Engineer @ Google

Structured, intense, and incredibly effective. I landed my dream role at Google.

Piyush

Staff Software Engineer @ Google

What Makes This Bootcamp Different

Our program is designed from the ground up to get you real results, not just theoretical knowledge.

Live, Instructor-Led Classes

No pre-recorded videos. Real interaction, real-time learning.

Small Cohorts (<10 Students)

Get the personal attention you deserve.

Daily Check-Ins & Accountability

Stay on track with structured progress.

1:1 Mock Interviews

Mock interviews for DSA and System Design.

50+ Real Coding Questions

Master FAANG-style challenges.

5+ Real-World System Designs

Build scalable systems like a pro.

Detailed Homework Feedback

Know exactly how to improve.

Results-Focused

Less theory, more action and outcomes.

Is This Bootcamp Right For You?

New grads or job seekers brushing up on core CS concepts
Experienced engineers feeling 'rusty' or out of practice
Working professionals re-entering the interview game after a gap
Serious candidates ready to stop procrastinating and start preparing

What you will learn, module by module

Five modules across eight weeks: two on the coding round, two on system design, and one spent rehearsing both under interview conditions. Each module ends with a capability rather than a list of topics covered.

Module 1

Data structures: the building blocks of efficient algorithms

  • Arrays and strings, including in-place manipulation and two pointer work
  • HashMaps and hash sets for counting, deduplication and constant-time lookups
  • Linked lists: traversal, reversal and cycle detection
  • Trees and the traversals every interview assumes you know
  • Graphs: representation, breadth-first and depth-first search
  • Heaps and priority queues for top-k and streaming problems

By the end: You reach for the right container on sight instead of forcing every problem through a nested loop.

Module 2

Algorithm patterns: the techniques interview questions are built from

  • Binary search on arrays and on the answer space
  • Backtracking for subsets, permutations and constraint problems
  • Greedy strategies, and how to tell when greedy is provably wrong
  • Dynamic programming from memoisation upwards
  • Problem-solving patterns and how to recognise which one a prompt is hiding
  • Complexity analysis for every solution you propose, before you write it

By the end: You can classify an unseen problem into a known pattern and state its complexity out loud before coding.

Module 3

System design fundamentals: the foundation for scalable systems

  • Separating functional from non-functional requirements in a vague prompt
  • Designing for scalability, availability and performance as measurable targets
  • Caching strategies, message queues and database modelling
  • Push versus pull architecture and the data delivery strategy each one implies
  • Choosing storage for a workload rather than by preference

By the end: You can take a one-line product prompt and produce a working architecture with stated assumptions.

Module 4

Advanced system design: large-scale challenges and trade-offs

  • Replication, partitioning and consensus, and the failure each one addresses
  • Infrastructure in practice: load balancers, WebSockets, CDNs, DNS and more
  • Real-world system case studies, decision by decision
  • Trade-off discussions and optimisation strategies under interviewer pressure
  • 5+ real-world system designs worked end to end

By the end: You can defend a design, name what you gave up, and change one decision when shown a counterexample.

Module 5

Rehearsal: mock interviews, feedback and accountability

  • 1:1 mock interviews for data structures and algorithms
  • 1:1 mock interviews for system design
  • Detailed homework feedback, so you know exactly what to improve
  • Daily check-ins to keep progress structured across the eight weeks
  • 50+ real coding questions worked through across the program

By the end: You have run the rounds before they count, and you know which of your habits loses points.

Modules 1 and 2 move at interview pace. If you have never studied these structures, start with DSA for Beginners. Modules 3 and 4 compress material that System Design for Beginners covers over three months, and Python for Coding Interviews is the fastest way to sharpen raw coding speed alongside either one.

What You'll Walk Away With

✓

Full interview readiness in 8 weeks

✓

Real 1:1 mock interviews with expert feedback

✓

Proven strategies used by top engineers at Google and Meta

✓

Personalized mentorship in a distraction-free small cohort

✓

A driven network of peers and future teammates

What does a software engineering interview loop actually test?

A software engineering interview loop tests four separate things: whether your resume survives a screen, whether you can turn a problem into working code under a timer, whether you can design a system that holds up at scale, and whether you are someone a team wants to work with. Each round is scored independently, so a strong coding round does not rescue a weak design round.

That independence is why scattered preparation fails. Candidates pour weeks into problem sets, then lose the offer on a design round they never rehearsed or a behavioural answer that wandered for six minutes without a result in it.

The bootcamp treats coding and system design as two trained skills rather than one, with separate 1:1 mock interviews for each and feedback aimed at the specific signal the round is looking for.

Before you start preparing, read the shape of the loop you are walking into. Our software engineer interview questions library breaks it down round by round, and the company pages for Google, Meta and Microsoft show how much the weighting shifts between them.

Every round, and how to prepare for it

This bootcamp covers the two rounds that decide most loops, and it is worth being clear about the ones it does not. The last column says which is which, with a free resource for the rest.

Software engineering interview rounds, what each one tests, how to prepare, and whether this bootcamp covers it
RoundWhat it testsHow to prepareIn this bootcamp?
Resume screenWhether a recruiter sees impact in six seconds, and whether your keywords survive an ATS parseRewrite every bullet as an outcome with a number, then check it renders cleanly in a parserNot part of the bootcamp
Free resume builder
Online assessment or phone screenWhether you produce correct, compiling code against a timer with no hints and no discussionTimed sets of medium problems, written by hand, with the complexity stated before you typeYes: 50+ real coding questions
Timed coding practice
Coding rounds (onsite)Pattern recognition, complexity reasoning, and whether you narrate your thinking while you workPractise in pattern batches rather than at random, then explain each solution out loudYes: 1:1 DSA mock interviews
AI mock interviews
System design roundRequirements gathering, estimation, component choice, and how you handle a challenged assumptionRehearse one repeatable process on real systems until the order is automaticYes: 5+ real-world system designs
System Design for Beginners
Behavioural or hiring manager roundOwnership, collaboration, conflict handling, and whether your stories actually end in a resultPrepare six stories in a structured format and practise cutting each one to two minutesNot part of the bootcamp
Behavioural interview questions
Team match and levellingScope and judgement, which together decide the band your offer lands inRead the level expectations first so you can aim your examples at the band you wantNot part of the bootcamp
Google engineer levels

If the coding column is the one that worries you most, Data Structures and Algorithms for Beginners builds that base from scratch over four months before you commit to eight intense weeks here.

Which HireCade course should you start with?

This bootcamp is the right choice for a specific person: someone who can already code and has interviews coming. If that is not you yet, one of the rows below will save you eight expensive weeks.

HireCade Learning courses, who each one suits and what to take next
CourseStart here ifWhat comes next
Python for BeginnersYou are still learning to write loops and functions without checking a reference.Then DSA for Beginners
Data Structures and Algorithms for BeginnersData structures are genuinely new, so eight weeks would be spent learning rather than rehearsing.Then this bootcamp
System Design for BeginnersYour coding rounds are fine and it is only the design round that worries you.Then this bootcamp, or interview directly
Python for Coding InterviewsYou know the structures and want raw speed and idioms in Python before a screen.Then this bootcamp
Software Engineering Interview Prep BootcampThis programYou can already code and want coding, design and mock rounds compressed into eight weeks.Interview with a rehearsed loop
AI Product Manager Interview Prep BootcampYou are interviewing for product roles on AI teams rather than engineering roles.The product equivalent of this program

Why structured interview preparation beats grinding alone

Interview preparation fails in predictable ways. The first is passive consumption: watching solutions is comfortable, produces a feeling of progress, and transfers almost nothing to a blank editor with somebody watching. The second is random practice, where problems get solved in whatever order a list presents them, so patterns never consolidate and the same insight has to be rediscovered every week.

The third is imbalance. Most candidates over-prepare the round they are already best at. Engineers who enjoy algorithms grind problems and walk into a design round with no framework, while senior candidates who can architect anything get caught out by a timed medium problem they have not written by hand in three years.

A structured program fixes all three by removing the choices. Live classes force active participation, the curriculum sets the order, homework feedback tells you which habit is costing you points, and separate mock interviews for coding and design make sure neither half is left to chance. That is the whole argument for a cohort over a playlist.

Preparation is also worth aiming. Read the Google engineer levels guide and the career levels across IT companies pages to work out which band your experience supports, then check salaries by role and company so you know what the loop is worth before you negotiate. When you are ready to interview, you can drop your profile for hiring teams directly.

Meet Your Instructors

Ex-Google & Ex-Facebook Engineers

with years of interviewing experience

Our instructors are ex-Google and ex-Facebook engineers who were hired when the bar was extremely high: pre-2018, when getting in was 1% acceptance or less.

They've since founded multi-million dollar tech companies and interviewed 100s of engineers. They bring you the insider mindset, strategies, and frameworks that actually work in top-tier interviews.

Former Google Engineers
Former Meta Engineers
Tech Founders
Senior Interviewers

Related products, tools, and guides on HireCade

This bootcamp assumes working knowledge of at least one programming language. If a foundation is missing, or you want to keep practising between classes, everything below pairs with the program.

Courses to take before or alongside this bootcamp

Free tools to prepare with

Research the companies and levels you are targeting

Once you are interview ready

Frequently asked questions about the interview prep bootcamp

How long is the Software Engineering Interview Prep Bootcamp?

The bootcamp runs for eight weeks of live, instructor-led classes, covering data structures and algorithms, system design, and 1:1 mock interviews for both.

Eight weeks is deliberately short. It is built for people who can already write code and need their preparation organised, timed and reviewed, not for people meeting data structures for the first time.

How long does it take to prepare for a software engineering interview?

Eight to twelve weeks is realistic if you code professionally and are refreshing what you already know. Four to six months is realistic if data structures and algorithms are new to you.

What moves the timeline is structure rather than hours. Random problem solving produces a long streak and little transfer, because you rarely meet the same pattern twice in a row and the reasoning never becomes automatic.

Is this bootcamp suitable for complete beginners?

No, and we will tell you that at the application stage rather than halfway through a cohort. This program assumes you are comfortable writing code in at least one language, because it moves at interview pace from the first week.

If you are starting from scratch, take Data Structures and Algorithms for Beginners first. It covers the same fundamentals over four months with no assumption of prior knowledge, and graduates often come straight here afterwards.

What do I need to know before joining?

You need working fluency in one programming language: loops, functions, classes and the standard library of whatever you write in. The curriculum starts at data structures and builds upwards from there.

Prior system design experience is not required. Module 3 begins with requirements gathering and works up to replication, partitioning and consensus, so a candidate who has never drawn an architecture can still follow it.

Are the classes live or pre-recorded?

All classes are live and instructor-led. There are no pre-recorded videos, because the skills being trained are reasoning out loud and responding to pushback, and neither of those can be practised against a video.

Daily check-ins run alongside the classes so progress stays structured across the eight weeks instead of collapsing into a panic in week seven.

How large is each cohort?

Cohorts are kept under ten students. That is small enough for every question to be answered in the session and for the instructor to know which habit each person needs to break.

It is also why seats are limited and early applicants are prioritised. We cannot expand a cohort without losing the thing that makes it work.

How many practice questions and system designs does the bootcamp cover?

The program works through 50+ real coding questions and 5+ real-world system designs, all drawn from the kinds of interviews our instructors have actually run.

Every submission gets detailed homework feedback, which matters more than the raw count. Fifty reviewed problems beat five hundred unreviewed ones, because the point is to fix the reasoning rather than to log volume.

Do I get mock interviews?

Yes. You get 1:1 mock interviews for data structures and algorithms and separate 1:1 mock interviews for system design, each with expert feedback on both your solution and your explanation.

They are run separately on purpose. Coding and design are scored independently in a real loop, so rehearsing them as one blended session hides whichever of the two is weaker.

Who teaches the bootcamp?

The instructors are ex-Google and ex-Facebook engineers who were hired when the bar was extremely high, pre-2018, when acceptance was around one percent or lower.

They have since founded multi-million dollar tech companies and interviewed hundreds of engineers, so the frameworks they teach are the ones they have used to score candidates rather than ones they read about.

Which companies does this prepare me for?

The curriculum targets the standard technical loop used by Google, Meta, Netflix and other top technology companies: timed coding rounds followed by a system design round, which is also the format most funded startups have copied.

It helps to read the specific shape of a company's loop before you apply, which our interview questions library covers company by company.

How is this different from the DSA and System Design courses?

Data Structures and Algorithms for Beginners is four months of teaching from scratch, and System Design for Beginners is three months of the same for architecture. Both assume you have time and are building a foundation.

This bootcamp assumes you have a loop coming up. It compresses both subjects into eight weeks and adds the parts a course cannot give you: daily accountability, homework feedback and 1:1 mock interviews.

What does the bootcamp cost, when does it start, and how do I apply?

Apply through the form on this page. The next cohort starts in two weeks and seats are limited, so our team replies with the current fees, payment options and start date, and will say honestly if a different program suits your background better.

Early applicants are prioritised. If the upcoming cohort fills before you apply, we will place you in the following one.

Ready to Apply?

The next cohort starts in 2 weeks, and seats are filling quickly. Complete the form below to start your application process.

Early applicants are prioritized.

Limited spots available.

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