Big Tech and product companies
Large product companies running a standardised, centrally calibrated loop: an algorithmic screen, one or two design rounds scaled to level, and a behavioural round scored against published principles.
From deep technical fundamentals to complex system architecture. Access expertly engineered interview scenarios and grading rubrics designed to bridge the gap between where you are and where you want to be.
Calibrated against the engineering standards of industry-leading companies
Plan from a job description
A banking Java role and a startup Java role are different interviews. Give us the job description and the plan is built from what it actually asks for.
1. Paste or upload
The job description as text, PDF or Word. Read in your browser - the file is never uploaded.
2. Check what we found
Skills, level, employer type and domain, each with the line it came from. Remove or add topics.
3. Get your plan
Day by day, built from those topics. Skills we don't cover yet, you can ask us to add.
“6+ years of experience in Java, Spring Boot … event-driven integrations using Kafka … understanding of KYC, AML and reconciliation flows in banking”
Stop relying on vague advice. We demystify the hiring process with transparent, data-driven scorecards that evaluate your technical depth and behavioral signals.
Live Rubric Evaluation: Watch your answer get mapped directly to staff-level scoring criteria.
Identify Red Flags: Learn the exact phrases that trigger immediate rejections.
Compare with the Standard Model: See how textbook answers fail to demonstrate actual seniority.
Distributed Caching Strategy
Positive Signals (What Interviewer Scores)
Common Red Flags (Where Points Are Lost)
Most platforms hand you the answer. Preptima hands you the scorecard.
Most interview prep is a pile of questions with no order. You don't know what to study first, what your target company actually tests, or when you are ready - so you grind through generic lists and hope. Preptima starts from the other end: how interviewers really score a candidate, and builds everything around that.
Roadmap, plan and content live together. Tell us your role, seniority, the kind of company and how many days you have, and you get a study order built from the question bank, not a generic syllabus. Every answer shows what the interviewer is looking for and the follow-ups that come next. And because the questions are real production scenarios rather than puzzles, what you practise to get the job is what you will use to do it well.
Build your planGeneric question dumps
A plan for your role, level, target company and timeline
Model answers to memorise
The signals the interviewer scores, and the follow-ups they ask next
Studying everything, in no order
A roadmap: what to cover first, and when you are ready
Prep that ends at the offer
Production scenarios you will meet on the job
Don't study for Google if you're interviewing at a Series A startup. We calibrate the rubrics specifically to the employer tier you are targeting.
No generic puzzles. Face production scenarios exactly as a Staff Engineer would: scaling challenges, 3 AM outages, and migration complexities.
Learn the exact 4-5 signals interviewers evaluate. Avoid the hidden traps and learn how to navigate the inevitable deep-dive follow-ups.
| Platform | Coding Puzzles | System Design | DevOps & Data Tracks | Employer Archetypes | Explicit Scoring Rubrics | Production Scenarios |
|---|---|---|---|---|---|---|
| Preptima | Deep coverage | Deep coverage | Deep coverage | Deep coverage | Deep coverage | Deep coverage |
| Other Platforms | Deep coverage | Basic or theoretical | Not covered | Not covered | Not covered | Basic or theoretical |
Everything you need to master your specific domain.
Different companies weight rounds differently. Select your employer tier to inspect how their hiring panels calibrate candidate rubrics.
Large product companies running a standardised, centrally calibrated loop: an algorithmic screen, one or two design rounds scaled to level, and a behavioural round scored against published principles.
The offshore engineering arm of a global bank, insurer, retailer, telco, or product company, hiring to own a product area rather than to staff a project.
Firms that sell delivery capacity and advisory work to clients, where the interview is partly technical assessment and partly a rehearsal of how you will sound in front of the client paying for you.
Small product teams hiring for end-to-end ownership, where the loop is short, idiosyncratic, and usually anchored on a take-home or a paired session in the actual codebase.
Engineering craft, the languages and platforms on top of it, the leadership and product rounds that decide senior outcomes, and the industry domains that separate two technically equal candidates.
A curated path through the sections that matter for one job, so you are not deciding what to study before you have started.
The full loop for a JVM backend role: coding, Java and Spring depth, databases, service design, and the behavioural round.
Browser-platform depth, framework rounds, a frontend system design round, and the accessibility and performance questions that follow.
Both ends of the stack at moderate depth, with the integration and API-boundary questions specific to full-stack loops.
Pipelines, Spark and warehousing, SQL depth, and the modelling and orchestration questions specific to data platforms.
Infrastructure, pipelines, Kubernetes, and the reliability and incident-response judgement that defines the SRE round.
People scenarios, delivery judgement, hiring calibration, and retained technical credibility across a mixed loop.
A strong 30-60-90 day plan for a VP of Engineering spends the first month diagnosing why dates slip, the second fixing how commitments are made and landing one re-baselined milestone, and the third installing a planning system. Each phase ends in outcomes the CEO can check, not a list of meetings.
Treat it as a process gap, not a grudge. Find out where and when decisions are made, get your team's constraints in front of the deciders before the meeting through short written proposals with a comment window both time zones can reach, and escalate a specific costly decision, not the people who made it.
Treat executive conflict as information, not an attack. In the room, restate their strongest point, answer what your data covers, name what you will come back with and when. Afterwards, meet them privately, find whether it is a dispute about facts or priorities, and return to the CEO jointly. Never score points.
In a transfer, atomicity means the debit and credit commit together or not at all, consistency means declared constraints such as a non-negative balance still hold, isolation stops concurrent transactions seeing or overwriting each other's half-done work, and durability means a confirmed commit survives a crash.
An AI-assisted assessment section scores whether you understand the code before you change it, whether you verify every change by running the tests, and whether you can explain what you changed and why. The assistant speeds up reading and typing, but judgement is yours, and clever prompting earns nothing by itself.
Use code tracing, not reading. Write a small table with one column per variable and one row per step, count loop iterations from the bounds first, and apply the language's own rules for integer division, references and evaluation order. Skim the options to see which rule the question is testing.
Everything you need to know about how Preptima accelerates your interview preparation.
While most platforms focus entirely on algorithmic puzzles and binary 'pass/fail' outcomes, Preptima mirrors the reality of a modern hiring loop. We recognize that senior interviews are won on nuance, not rote memorization. For every scenario, we provide the hidden scoring rubric—the specific 'Probes' interviewers use to measure your depth, and the 'Traps' that reveal a lack of production experience. You learn how to defend your architectural decisions rather than just reciting a textbook answer.
The 'one-size-fits-all' interview is a myth. A Big Tech hyperscaler (like Meta or Google) utilizes highly calibrated, algorithm-heavy loops to measure abstract problem-solving. Conversely, an IT Consultancy values stakeholder management and broad architectural breadth, while a Series A startup heavily weights operational instinct and end-to-end ownership. Preptima dynamically re-weights your daily study blocks based on the specific archetype you are targeting so you are not studying for Google when you are interviewing at a startup.
Every question in the Preptima bank originates from genuine production environments and actual hiring loops. Instead of asking you to simply define a distributed cache, we present the scenario exactly as a Staff Engineer would face it: 'You have a massive cache stampede at 3 AM. Your database is recovering, but your service is not. What do you do?' This forces you to navigate ambiguity, capacity estimation, and graceful degradation just as you would on the job.
No. A modern tech organization relies on a diverse ecosystem of specialists, and our curriculum reflects that reality. Beyond exhaustive Frontend and Backend engineering tracks, Preptima features deep, dedicated coverage for DevOps and Cloud Reliability (SRE), Data & AI Engineering, QA Automation, Product Management, and Technical Presales. Each discipline has its own specialized rubrics and case studies.
An Entry-Level developer and a Principal Architect are never scored on the same matrix, even if they are asked the exact same question. Preptima tags every question by seniority level and explicitly outlines how expectations scale. Where a junior candidate is expected to produce working code, a senior candidate is graded on how well they articulate the blast radius of their design, their understanding of multi-tenant isolation, and their ability to own cross-team technical strategy.
Practise on the scenarios interviewers actually score, in a plan built for your role, your level and the company you are interviewing with.