Could you please evaluate theroadmap I've created? I'd specifically like to know your thoughts on the 'Strong Junior' section—how does it look to you?

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Level 01 — Strong Junior:

Language Syntax & OOP

Java syntax — primitives, operators, control flow (if/else, for, while, switch), arrays, strings

OOP fundamentals — classes, objects, constructors, methods, fields, access modifiers (public/private/protected)

Inheritance & Polymorphism — extends, super, method overriding and overloading, instanceof, abstract classes

Interfaces — implementing multiple interfaces, default methods (Java 8+), difference between abstract class and interface

Encapsulation — getters/setters, information hiding, immutability basics (final fields)

Core Java Library

Collections Framework — ArrayList, LinkedList, HashMap, HashSet, TreeMap, LinkedHashMap; when to use which

Exception handling — try/catch/finally, checked vs unchecked exceptions, creating custom exceptions

String manipulation — String, StringBuilder, StringBuffer, common methods, String.format()

Java 8+ essentials — Lambda expressions, functional interfaces, Stream API basics (filter, map, collect, reduce), Optional

I/O basics — File reading/writing, BufferedReader, Scanner, basic serialization concept

Java 17+IntelliJ IDEAJDK setupjava.util.*java.io.*

→Use IntelliJ IDEA from day one. Practice every concept by writing runnable code — not just reading. Solve small exercises: FizzBuzz, reverse a string, find duplicates in a list.

Git fundamentals — init, clone, add, commit, push, pull, status, log, diff; understanding the staging area

Branching & merging — branch, checkout, merge, rebase basics; resolving merge conflicts

GitHub / GitLab workflow — pull requests, code review basics, .gitignore, README

Maven — pom.xml structure, dependencies, plugins, build lifecycle (clean, compile, test, package, install)

Gradle basics — build.gradle, tasks, dependencies; know how it differs from Maven

GitGitHubMavenGradle

★This is a key milestone. Start SQL at month 3, in parallel with learning Linux basics (Phase 4). Both take about 4 weeks each.

SQL basics — SELECT, INSERT, UPDATE, DELETE; WHERE, ORDER BY, GROUP BY, HAVING, LIMIT/OFFSET

Joins — INNER JOIN, LEFT/RIGHT/FULL OUTER JOIN, self-joins; understand when to use each

Database design basics — tables, primary keys, foreign keys, indexes basics, 1NF/2NF/3NF normalization concepts

Transactions basics — COMMIT, ROLLBACK, basic ACID understanding (this will go deeper at level 2)

PostgreSQL setup — install, psql CLI, pgAdmin; learn to create a database, users, and run queries

PostgreSQLSQLpgAdminDBeaver

★Learn Linux at month 3, at the same time as SQL. You don't need to master it — but you must be comfortable in the terminal to work professionally.

Filesystem navigation — cd, ls, pwd, mkdir, rm, cp, mv, find, cat, less, head, tail, grep, tree

File permissions — chmod, chown, understanding rwx, sudo, users and groups basics

Process management — ps, kill, top/htop, background jobs (&, fg, bg), nohup

Networking basics — curl, wget, ping, netstat, ss, ports concept; reading /etc/hosts

Shell basics — bash scripting fundamentals: variables, loops, conditionals, pipes, redirects (>, >>, |), environment variables

Text editors — vim basics (modes, save, quit) and nano; you must be able to edit files on a remote server

Ubuntu/DebianBashTerminalSSH

→You are about to build REST APIs with Spring Boot. Before that, you must understand how the web actually works end-to-end — what happens when a browser makes a request, how HTTPS encrypts it, what DNS resolves, and what a frontend actually is. This phase takes 2–3 weeks and pays dividends forever.

HTTP Protocol

HTTP request/response cycle — client sends a request (method + URL + headers + optional body); server returns a response (status code + headers + body); understand what happens at each step

HTTP methods & semantics — GET (read, idempotent, no body), POST (create, not idempotent), PUT (full replace, idempotent), PATCH (partial update), DELETE (remove, idempotent); why method choice matters for API design

HTTP status codes — 1xx (informational), 2xx (success: 200 OK, 201 Created, 204 No Content), 3xx (redirection: 301, 302, 304), 4xx (client errors: 400, 401, 403, 404, 409, 422), 5xx (server errors: 500, 502, 503)

HTTP headers — Content-Type, Accept, Authorization, Cache-Control, Cookie/Set-Cookie, CORS headers (Access-Control-Allow-Origin), X-Request-ID; how Spring reads and writes headers

HTTP/1.1 vs HTTP/2 vs HTTP/3 — connection reuse and keep-alive (HTTP/1.1), multiplexing and header compression (HTTP/2), QUIC transport (HTTP/3); know when your Spring app uses each and why it matters for performance

Cookies & sessions — how cookies work (Set-Cookie header, browser storage, sent on every request); session-based vs token-based auth; SameSite, HttpOnly, Secure cookie flags

HTTPS & TLS

TLS handshake — asymmetric key exchange (server's public key in certificate), symmetric session key negotiation; TLS 1.2 vs TLS 1.3 differences; why HTTP is plain text and HTTPS is not

SSL/TLS certificates — X.509 certificate structure, certificate authorities (CA), certificate chains, self-signed vs CA-signed; configuring HTTPS in Spring Boot (server.ssl.* properties); Let's Encrypt basics

HSTS & certificate pinning — HTTP Strict Transport Security header (forces HTTPS after first visit); why mixed content (HTTP resources on HTTPS page) is dangerous; configuring HSTS in Spring Security

How the Web Works

DNS resolution — what happens when you type a URL: browser cache → OS cache → recursive resolver → root nameserver → TLD → authoritative nameserver; A records, CNAME records, TTL; why this matters for microservices service discovery

IP, TCP, ports — IPv4/IPv6 addressing, TCP three-way handshake (SYN/SYN-ACK/ACK), ports (well-known: 80 HTTP, 443 HTTPS, 5432 PostgreSQL, 6379 Redis); localhost vs 0.0.0.0; how Spring Boot binds to a port

Load balancers & proxies — what a reverse proxy does (Nginx, HAProxy); X-Forwarded-For header; load balancing algorithms (round-robin, least connections); why Spring Boot apps sit behind a proxy in production

CDN basics — Content Delivery Network: edge nodes, origin pull, caching static assets, cache-control headers; when your backend API is NOT behind a CDN and when it is (API gateway caching)

Frontend Basics (Enough to Work with Frontend Devs)

HTML & CSS fundamentals — document structure, semantic HTML (nav, main, article, section), CSS selectors, the box model; you do not need to build UIs but you must read and understand frontend code

JavaScript essentials — variables (let/const), functions, arrow functions, promises, async/await; fetch API for making HTTP calls; JSON.parse() / JSON.stringify(); event loop concept (why JS is single-threaded)

How browsers make API calls — fetch() / XMLHttpRequest lifecycle; CORS (Cross-Origin Resource Sharing): why the browser blocks cross-origin requests, preflight OPTIONS request, how to configure @CrossOrigin and CorsConfigurationSource in Spring

Single-page applications (SPA) vs server-rendered — React/Vue/Angular fetch data from your Spring Boot REST API; understand what the frontend expects (JSON shape, status codes, error formats); vs Thymeleaf server-side rendering if building a full-stack Spring app

Browser DevTools — Network tab: inspect real HTTP requests/responses, headers, timing, payloads; Console tab: JavaScript errors; essential for debugging API integration issues with frontend teams

HTTP/1.1HTTP/2TLS 1.3DNSCORSfetch APIBrowser DevToolsNginx basics

Spring Core Concepts

Spring IoC & DI — ApplicationContext, @Component, @Service, @Repository, @Controller, @Autowired, @Bean, @Configuration; constructor injection vs field injection

Spring Boot auto-configuration — @SpringBootApplication, starter dependencies, application.properties / application.yml, profiles (@Profile, spring.profiles.active)

REST APIs with Spring MVC

Controllers — @RestController, @RequestMapping, @GetMapping, @PostMapping, @PutMapping, @DeleteMapping, @PathVariable, @RequestParam, @RequestBody

Response handling — ResponseEntity, HTTP status codes, @ResponseStatus, global exception handler with @ControllerAdvice + @ExceptionHandler

Validation — @Valid, Bean Validation annotations (@NotNull, @Size, @Email, etc.), custom validators

REST design basics — RESTful resource naming conventions, HTTP verbs semantics, JSON request/response, versioning strategies

Spring Data JPA

Entities & repositories — @Entity, @Table, @Id, @GeneratedValue, @Column; JpaRepository, CrudRepository; derived query methods

Relationships — @OneToMany, @ManyToOne, @OneToOne, @ManyToMany; FetchType.LAZY vs EAGER; Cascade types

Custom queries — @Query with JPQL and native SQL, @Modifying for updates/deletes, Pageable for pagination

Transactions basics — @Transactional, propagation levels (REQUIRED, REQUIRES_NEW), rollback rules

Basic Spring Security

Security configuration — SecurityFilterChain, HttpSecurity, permitAll vs authenticated, basic form login, HTTP Basic authentication

UserDetailsService — loading users from DB, password encoding with BCrypt, roles and authorities

Spring Boot 3.xSpring MVCSpring Data JPAHibernateSpring SecurityJacksonLombok

★Start DSA at month 5, while learning Spring Boot. Dedicate 45–60 min per day. You need enough to pass coding interviews at junior level. Do NOT try to finish all of DSA before coding Spring — learn both in parallel.

Complexity analysis — Big O notation: O(1), O(n), O(n²), O(log n), O(n log n); time and space complexity; analyzing loops and recursion

Arrays & Strings — two-pointer technique, sliding window, prefix sums, common patterns (duplicates, anagrams, substrings)

Linked Lists — singly/doubly linked list, reversal, fast/slow pointers (cycle detection), merge two lists

Stack & Queue — implementation, monotonic stack, valid parentheses, BFS queue usage basics

HashMap & HashSet patterns — frequency counting, grouping, two-sum pattern; understand Java HashMap's internal bucket structure

Binary search — classic binary search, search in rotated array, finding boundaries

LeetCode EasyLeetCode MediumNeetCode 150

JUnit 5 — @Test, @BeforeEach, @AfterEach, @BeforeAll, @AfterAll, @ParameterizedTest, assertions (assertEquals, assertThrows, assertNotNull)

Mockito — @Mock, @InjectMocks, @Spy, when().thenReturn(), verify(), ArgumentCaptor; mocking dependencies in service layer

Spring Boot Test — @SpringBootTest, @WebMvcTest (controller tests with MockMvc), @DataJpaTest (repository tests), @MockBean

Test principles — unit vs integration tests, test pyramid, code coverage basics, Arrange-Act-Assert pattern, TDD introduction

JUnit 5MockitoMockMvcTestcontainers basics

→You have built and tested a real Spring Boot API. Now you need to know how attackers break it. Learn these vulnerabilities by writing exploits yourself in a local test project — reading theory alone is not enough. Every attack listed here has a Spring-specific defense you must memorise.

Injection Attacks

SQL Injection — how it works (breaking out of string context in raw SQL); why Spring Data JPA + parameterized queries prevent it by default; danger zones: native @Query with string concat, JdbcTemplate misuse, JPQL string building; always use named parameters (:param) or positional (?) — never String.format() into a query

NoSQL Injection — MongoDB operator injection ($where, $gt tricks); Spring Data MongoDB uses safe query derivation but custom aggregation pipelines can be vulnerable

XSS — Cross-Site Scripting

Reflected & Stored XSS — how malicious scripts get injected into responses; Spring Boot REST APIs are less exposed (no server-side HTML rendering) but JSON responses can still feed vulnerable frontends

Defenses — never trust user input echoed back; encode output; set Content-Type: application/json (not text/html); use Content-Security-Policy header; Spring Security headers: .headers().contentSecurityPolicy(...)

Authentication & Access Control Flaws

CSRF — Cross-Site Request Forgery — how forged cross-origin requests exploit cookie-based sessions; Spring Security CSRF protection; when to disable for stateless JWT APIs (and why it's safe to do so)

IDOR — Insecure Direct Object Reference — accessing /api/users/42/orders when you are user 17; always verify that the authenticated principal owns the requested resource; use @PreAuthorize("@ownerCheck.verify(#id, authentication)")

Broken Authentication — weak JWT secrets (never use "secret" or short keys); missing token expiry validation; JWT algorithm confusion (alg:none attack); always validate iss, aud, exp claims; use strong 256-bit secrets or RSA key pairs

Security Misconfigurations & Data Exposure

Sensitive data exposure — never log passwords, tokens, or card numbers; never return password hashes or internal IDs in API responses; use @JsonIgnore or DTOs to control what gets serialized

Security headers — configure Spring Security's HeadersConfigurer: X-Content-Type-Options (nosniff), X-Frame-Options (DENY), Strict-Transport-Security (HSTS), Content-Security-Policy

Mass assignment / Insecure deserialization — never bind request body directly to your @Entity; always use a dedicated DTO; attackers can inject fields like isAdmin=true or id=999 if you use the entity directly in @RequestBody

Dependency vulnerabilities — use OWASP Dependency-Check Maven plugin or Snyk to scan for known CVEs in your pom.xml; keep Spring Boot version up to date

OWASP Top 10Spring Security headers@PreAuthorizeOWASP Dep-CheckSnykCSRFIDOR

Docker basics — what is a container vs VM; docker pull, run, stop, ps, logs, exec; writing a basic Dockerfile for a Spring Boot app; docker build and push

Docker Compose basics — running your Spring Boot app + PostgreSQL together with docker-compose.yml; environment variables, volumes

OpenAPI / Swagger — springdoc-openapi, @Operation, @ApiResponse, Swagger UI; documenting your REST APIs properly

REST Client tools — Postman or Insomnia for testing APIs, RestTemplate basics, or WebClient basics for HTTP calls from Spring

DockerDocker ComposeSwagger UIPostmanRestTemplate

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Level 02 — Intermediate:

Concurrency & Multithreading

Thread lifecycle

Synchronization

java.util.concurrent

Concurrent collections

Locks

JVM Internals

Memory model

Garbage collection

Class loading

JVM flags

Advanced Language Features

Generics deep dive

Reflection & Annotations

Modern Java features

Design patterns

Advanced SQL

Indexes

Transactions deep dive

Connection pooling

Flyway / Liquibase

Redis basics

Spring Security — JWT

Spring AOP

Spring Events

Spring Batch basics

Scheduling

WebFlux intro

Messaging concepts

RabbitMQ

Apache Kafka basics

Trees

Graphs

Heap / Priority Queue

Dynamic programming

Recursion & Backtracking

CI/CD pipelines

Docker advanced

Logging

Spring Boot Actuator

ELK Stack basics

Spring AI Core

Spring AI framework overview

ChatClient API

PromptTemplate

Structured output

RAG — Retrieval Augmented Generation

Embeddings & Vector stores

RAG pipeline

ETL pipeline (DocumentReader)

Tool Calling & Agentic Patterns

Function / Tool calling

Chat memory & conversation history

Local models with Ollama

**-------------------------------------------

Level 03 — Senior Developer:**

Microservices principles

Spring Cloud

Inter-service communication

Resilience patterns

Distributed transactions

API Gateway patterns

Kafka internals

Kafka production patterns

Kafka Streams

CQRS pattern

Event Sourcing

OAuth2 deep dive

OpenID Connect

Spring Authorization Server

Security best practices

Stripe integration

PayPal / Braintree

Idempotency in payments

Webhook handling

PCI-DSS basics

Transaction integrity

Performance profiling

JVM tuning

Database performance

Caching strategies

Load testing

Kubernetes core

Helm

Cloud platform (AWS or GCP)

Prometheus + Grafana

Distributed tracing

Advanced graph algorithms

Advanced DP patterns

Trie & Segment Tree

System Design DSA

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**Level 04 — Software Architect: **

Architecture styles

Architecture quality attributes

CAP theorem & distributed systems

API design at scale

Architecture Decision Records

Strategic DDD

Tactical DDD

DDD + microservices

Event storming

Enterprise Integration Patterns

Data architecture patterns

Polyglot persistence

CQRS + Event Sourcing at scale

Cloud-native design

High availability design

Service mesh

Infrastructure as Code

Serverless architecture

Architecture governance

ArchUnit

Cross-cutting concerns design

Evolutionary architecture

Communication & leadership

ArchUnitStrangler FigFeature FlagsLaunchDarklyRFC Process

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