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Learning Path

A structured roadmap for Java backend engineers targeting FAANG-level roles. Follow the phases sequentially — each builds on the previous.


Roadmap Overview

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flowchart TD
    P1["🟢 Phase 1 — Foundations\nJava · OOP · Collections · JVM"]
    P2["🟡 Phase 2 — Core Engineering\nSpring Boot · SQL · Threading · Testing"]
    P3["🔴 Phase 3 — Distributed Systems\nMicroservices · Kafka · System Design · DevOps"]
    P4["🟣 Phase 4 — Interview Ready\nDSA 200 Problems · Mocks · Behavioral"]

    P1 -->|"Months 1-2"| P2 -->|"Months 3-4"| P3 -->|"Months 5-6"| P4

    style P1 fill:#d1fae5,stroke:#059669,color:#000
    style P2 fill:#fef3c7,stroke:#d97706,color:#000
    style P3 fill:#fee2e2,stroke:#dc2626,color:#000
    style P4 fill:#FFF8E1,stroke:#F9A825,color:#000

Difficulty Legend

  • Green — Foundations (start here, 2 months)
  • Yellow — Core engineering skills (2 months)
  • Red — Distributed systems & architecture (2 months)
  • Purple — Interview-specific preparation (2 months)

Phase 1: Java Foundations

Week Topic What to Master Practice
1 Java Basics Primitives, operators, control flow, methods Write 10 small programs
2 OOP Classes, inheritance, polymorphism, interfaces, abstract Model 3 real-world systems
3 Collections ArrayList, HashMap, TreeMap, HashSet, LinkedList Implement a custom HashMap
4 Generics & Streams Type parameters, wildcards, Stream API, lambdas Refactor loops to streams
5 Exception Handling Checked vs unchecked, try-with-resources, custom exceptions Build error handling strategy
6 I/O & NIO File operations, BufferedReader, Path, Files, channels Build a log file parser
7-8 JVM & GC Memory model, class loading, G1/ZGC, JIT compilation Profile a sample app with VisualVM

Milestone: Build a CLI application that reads CSV files, processes data using streams, and outputs results — handling all edge cases gracefully.


Phase 2: Core Engineering

Week Topic What to Master Practice
9 SOLID Principles SRP, OCP, LSP, ISP, DIP with real examples Refactor a messy codebase
10 Design Patterns Factory, Strategy, Observer, Builder, Decorator Implement each in a mini-project
11 Multithreading Thread lifecycle, synchronized, volatile, happens-before Build a producer-consumer system
12 Concurrency ExecutorService, CompletableFuture, ConcurrentHashMap, locks Build a parallel web crawler
13-14 Spring Boot IoC/DI, annotations, REST controllers, JPA, profiles Build a complete CRUD API
15 Database Normalization, indexes, joins, transactions, query optimization Design schema for e-commerce
16 Testing JUnit 5, Mockito, integration tests, Testcontainers Achieve 80%+ coverage on your API

Milestone: Build a Spring Boot REST API with JPA, proper layered architecture, comprehensive tests, and Docker deployment.


Phase 3: Distributed Systems

Week Topic What to Master Practice
17-18 Microservices Service decomposition, API gateway, service discovery Split monolith into 3 services
19 Kafka Producers, consumers, partitioning, exactly-once semantics Build event-driven pipeline
20 Resilience Circuit breakers, retries, bulkheads, rate limiting Add resilience to your services
21-22 System Design CAP, consistent hashing, sharding, replication Design 2 systems per week
23 Docker & K8s Containers, pods, services, deployments, config maps Containerize and deploy your app
24 CI/CD & Cloud GitHub Actions, AWS (EC2, RDS, S3, SQS, Lambda) Set up full pipeline

Milestone: Deploy a 3-service microservices system with Kafka, Docker Compose, monitoring (Prometheus + Grafana), and a CI/CD pipeline.


Phase 4: Interview Preparation

Week Focus Daily Target
25-26 DSA: Arrays, Strings, HashMaps, Two Pointers 3 problems/day
27-28 DSA: Trees, Graphs, BFS/DFS 2-3 problems/day
29-30 DSA: DP, Backtracking, Greedy 2 problems/day
31 System Design deep practice 1 full design/day
32 Mock interviews + behavioral 1 mock + review/day

Milestone: Solve 150+ LeetCode problems across all patterns, design 15 systems end-to-end, and complete 5 mock interviews.


Books (Priority Order)

Book Why It Matters When to Read
Effective Java (Bloch) Java best practices, idiomatic code Phase 1-2
Clean Code (Martin) Writing maintainable code Phase 2
Java Concurrency in Practice (Goetz) Deep concurrency understanding Phase 2
Designing Data-Intensive Applications (Kleppmann) Distributed systems fundamentals Phase 3
System Design Interview (Alex Xu) Structured approach to design problems Phase 3-4
Cracking the Coding Interview (McDowell) DSA patterns and behavioral prep Phase 4

Online Platforms

Platform Best For
LeetCode DSA practice (sort by company/frequency)
NeetCode Curated problem lists with video explanations
System Design Primer System design concepts and examples
ByteByteGo Visual system design explanations
Baeldung Java and Spring Boot tutorials
Spring Guides Official Spring Boot guides
Visualgo Algorithm visualization

Video Resources

Channel Focus
Java Brains Spring Boot, microservices
Tech Dummies (Gaurav Sen) System design
Abdul Bari Algorithms
NeetCode DSA problem walkthroughs
Hussein Nasser Backend engineering, protocols

Study Principles

Consistency Over Intensity

2 hours daily for 8 months beats 10 hours on weekends. Build the habit first, then increase intensity.

Build Projects at Every Stage

Theory without practice doesn't stick. Each phase should produce a working project you can show in interviews.

Teach to Learn

Explain concepts to a rubber duck, a blog post, or a colleague. If you can't explain it simply, you don't understand it deeply enough.

Track Your Progress

Maintain a spreadsheet of problems solved, systems designed, and concepts mastered. Review weak areas weekly.


Weekly Schedule Template

Day Focus (2-3 hours)
Monday DSA problems (current phase topic)
Tuesday Theory (read book chapter or watch lecture)
Wednesday DSA problems + review yesterday's theory
Thursday Project work (build something with current concepts)
Friday DSA problems (mix of new + revisit hard ones)
Saturday System design OR mock interview
Sunday Review week's progress, plan next week