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Backend Developer

Build the server-side logic behind every app

₹17.7L – ₹25.5Lal año · estimación para India
⏱ 6–12 months🧭 Intermediate🗺️ 4 mundos · 20 misiones

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Nivel 1 · Curioso
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Habilidades que te llevarás

A programming languageDatabasesAPIsServer managementSecurity basics

Trabajos a los que lleva

  1. Backend Developer
  2. API Engineer
  3. Server-side Engineer
  4. Platform Developer

Antes de empezar

  • ✓ Basic programming knowledge helpful
  • ✓ Comfort with the terminal

20 misiones hasta Backend Developer

4 mundos, 20 misiones. Toca cualquier círculo para abrirlo; el que brilla es el siguiente.

Mundo 1

Choose Your Language

4–6 weeks

0/5

Pick one language and stick with it. Python, Node.js, Go, and Java are all solid choices.

No iniciado
Habilidades de esta fase
Cofre: insignia del mundo 1Termina el mundo 1 para abrirlo
Mundo 2

Databases & SQL

3–5 weeks

0/5

Learn how to store and retrieve data.

No iniciado
Habilidades de esta fase
Cofre: insignia del mundo 2Termina el mundo 2 para abrirlo
Mundo 3

APIs & Frameworks

5–8 weeks

0/5

Create APIs that let frontend and backend talk to each other.

No iniciado
Habilidades de esta fase
Cofre: insignia del mundo 3Termina el mundo 3 para abrirlo
Mundo 4

Deployment & DevOps Basics

3–4 weeks

0/5

Get your app live on the internet.

No iniciado
Habilidades de esta fase
Cofre: insignia del mundo 4Termina el mundo 4 para abrirlo

Más sobre esta carrera

Sobre el trabajo, el salario donde vives, preguntas frecuentes y a dónde puede llevarte esta carrera después.

Sobre el trabajo

Qué harías

  • Construir la estructura técnica general de sitios y aplicaciones web
  • Escribir el código de soporte sobre el que funcionan las aplicaciones web
  • Desarrollar bases de datos que dan soporte a las aplicaciones web
  • Comprobar que el código es válido, está bien estructurado y cumple los estándares
  • Probar los sitios según un calendario y después de cada revisión
  • Analizar las necesidades de los usuarios para definir los requisitos técnicos

Dónde trabajarías

  • Empresas de diseño de sistemas informáticos (cerca del 21 % de los desarrolladores web de EE. UU.)
  • Por cuenta propia (cerca del 18 % en EE. UU.)
  • Empresas del sector de la información (cerca del 11 % en EE. UU.)
  • Escuelas, institutos y universidades (cerca del 10 % en EE. UU.)
  • Consultoras de gestión y técnicas (cerca del 6 % en EE. UU.)

Todos los pasos completos

El texto completo de cada paso, para leer o imprimir. Avanza por ellos en el viaje de arriba.

Choose Your Language 5 pasos
  1. Choose one primary backend language (e.g., Python, Node.js, Go, or Java) and focus purely on it.

    Choose one primary backend language (e.g., Python, Node.js, Go, or Java) and focus purely on it.

    Abrir este paso ↑
  2. Learn core language concepts: syntax, variables, conditionals, loops, and data structures (arrays, dictionaries/hashes).

    Learn core language concepts: syntax, variables, conditionals, loops, and data structures (arrays, dictionaries/hashes).

    Abrir este paso ↑
  3. Understand object-oriented programming (OOP) paradigms and functional programming patterns.

    Understand object-oriented programming (OOP) paradigms and functional programming patterns.

    Abrir este paso ↑
  4. Familiarize yourself with package managers (npm, pip, maven) and virtual environments.

    Familiarize yourself with package managers (npm, pip, maven) and virtual environments.

    Abrir este paso ↑
  5. Build small CLI programs (like a file organizer or simple calculator) to practice logic.

    Build small CLI programs (like a file organizer or simple calculator) to practice logic.

    Abrir este paso ↑
Databases & SQL 5 pasos
  1. Learn relational database concepts and write SQL queries (SELECT, INSERT, UPDATE, JOINs).

    Learn relational database concepts and write SQL queries (SELECT, INSERT, UPDATE, JOINs).

    Abrir este paso ↑
  2. Understand database normalization, relationships (1:1, 1:N, N:M), and schema design.

    Understand database normalization, relationships (1:1, 1:N, N:M), and schema design.

    Abrir este paso ↑
  3. Learn indexing and query profiling to improve database performance.

    Learn indexing and query profiling to improve database performance.

    Abrir este paso ↑
  4. Explore one NoSQL database (e.g., MongoDB, Redis) and know when to use it over SQL.

    Explore one NoSQL database (e.g., MongoDB, Redis) and know when to use it over SQL.

    Abrir este paso ↑
  5. Build and instantiate a data model for a real-world scenario (like an e-commerce catalog or blog platform).

    Build and instantiate a data model for a real-world scenario (like an e-commerce catalog or blog platform).

    Abrir este paso ↑
APIs & Frameworks 5 pasos
  1. Understand the HTTP protocol, status codes, and REST API design principles.

    Understand the HTTP protocol, status codes, and REST API design principles.

    Abrir este paso ↑
  2. Pick a backend framework (Express, Django, Flask, FastAPI, Spring Boot) and build basic CRUD endpoints.

    Pick a backend framework (Express, Django, Flask, FastAPI, Spring Boot) and build basic CRUD endpoints.

    Abrir este paso ↑
  3. Implement secure user authentication and authorization using JWTs or OAuth2.

    Implement secure user authentication and authorization using JWTs or OAuth2.

    Abrir este paso ↑
  4. Add strict input validation, logging, and comprehensive error handling to your endpoints.

    Add strict input validation, logging, and comprehensive error handling to your endpoints.

    Abrir este paso ↑
  5. Learn how to integrate third-party APIs (Stripe for payments or SendGrid for emails) into your app.

    Learn how to integrate third-party APIs (Stripe for payments or SendGrid for emails) into your app.

    Abrir este paso ↑
Deployment & DevOps Basics 5 pasos
  1. Learn Docker basics: write Dockerfiles, run containers, and manage multi-container apps with Docker Compose.

    Learn Docker basics: write Dockerfiles, run containers, and manage multi-container apps with Docker Compose.

    Abrir este paso ↑
  2. Understand Linux server basics: SSH, permissions, and fundamental terminal commands.

    Understand Linux server basics: SSH, permissions, and fundamental terminal commands.

    Abrir este paso ↑
  3. Deploy a web app to a cloud provider like AWS, DigitalOcean, or Heroku, setting up environment variables.

    Deploy a web app to a cloud provider like AWS, DigitalOcean, or Heroku, setting up environment variables.

    Abrir este paso ↑
  4. Set up GitHub Actions to automate your testing and deployment pipelines (CI/CD basics).

    Set up GitHub Actions to automate your testing and deployment pipelines (CI/CD basics).

    Abrir este paso ↑
  5. Configure basic monitoring, structured logging, and automated alerts to catch production errors.

    Configure basic monitoring, structured logging, and automated alerts to catch production errors.

    Abrir este paso ↑

Preguntas frecuentes sobre Backend Developer

Respuestas claras sobre salarios, duración y metodología.

¿Cuánto se tarda en ser Backend Developer?

Esta ruta estima 6–12 months. Tiene 4 fases y 20 pasos, desde «Choose Your Language» hasta «Deployment & DevOps Basics».

¿Cómo llego a ser Backend Developer?

Sigue las 4 fases en orden, empezando por la fase 1, «Choose Your Language». Tu primera tarea: Choose one primary backend language (e.g., Python, Node.js, Go, or Java) and focus purely on it.

¿Cuánto gana un Backend Developer?

El sueldo depende del país. El recuadro de salario de esta página muestra la estimación de DraftMyCareer, en moneda local, para el país elegido en el menú.

¿Qué necesito antes de empezar?

Esta ruta indica: Basic programming knowledge helpful; Comfort with the terminal.

¿Qué habilidades necesita un Backend Developer?

Esta ruta cubre: A programming language, Databases, APIs, Server management, Security basics.

Cambiar de carrera: caminos desde y hacia este rol

Ver todos los cambios →

Próximos pasos y cambios laterales desde este rol

  • AI & ML Engineer

    Backend developers already have the infrastructure and API skills that most AI prototypes lack, making them prime candidates for lucrative AI Systems Engineering roles.

    ⏱ 4–6 months🧭 Moderate

    Lo que aprenderíasPython & PyTorch / HuggingFace · Vector Databases (Pinecone, pgvector, Qdrant) · RAG Pipelines & LLM Orchestration (LangChain, LlamaIndex)

    Ver plan paso a paso
    1. Month 1: Python Data & LLM Foundations Master Python, NumPy, and call foundation model APIs (OpenAI, Anthropic) with streaming responses and structured JSON outputs.
    2. Month 2–3: Vector Embeddings & Production RAG Build high-throughput Retrieval-Augmented Generation (RAG) pipelines using pgvector or Qdrant with hybrid search and reranking.
    3. Month 4–5: Fine-Tuning & Model Evaluation Fine-tune open-weight models (Llama 3 / Mistral) with LoRA/QLoRA and build automated evaluation test suites.
    4. Month 6: High-Scale AI Microservices Deploy low-latency AI inference microservices with streaming endpoints, token caching, and rate limiting on cloud GPU clusters.
  • DevOps Engineer

    DevOps & Platform engineers are among the most sought-after tech specialists with high job security and remote leverage.

    ⏱ 4–6 months🧭 Moderate

    Lo que aprenderíasDocker & Kubernetes (K8s) · Terraform & Infrastructure as Code (IaC) · CI/CD Pipelines (GitHub Actions/GitLab)

    Ver plan paso a paso
    1. Month 1: Advanced Linux & Networking Master Linux kernel diagnostics, systemd, TCP/IP, DNS, and shell scripting.
    2. Month 2: Containers & Orchestration Containerize complex apps with multi-stage Docker builds and manage K8s deployments.
    3. Month 3: Infrastructure as Code Provision multi-environment cloud infrastructure using Terraform and AWS/GCP.
    4. Month 4–6: Production SRE & Observability Build automated CI/CD release trains, zero-downtime rollouts, and alert metrics.

Cómo llegar a este rol desde otros perfiles

  • Desde: Non-Tech Professional

    Backend development relies on structured logic and business rules rather than aesthetic visual design, offering exceptional compensation, high job stability, and clear progression to senior engineering and architect roles.

    ⏱ 8–12 months (8 Months to 1 Year)🧭 Beginner-Friendly

    Lo que ya sabesProblem decomposition & structured logical reasoning · Real-world business domain workflows & requirements analysis · Clear asynchronous documentation & written communication

    Ver plan paso a paso
    1. Month 1–3: Programming Logic & Core Language Mastery Pick one enterprise backend language (Java with Spring Boot, Python with FastAPI, or TypeScript with Node.js). Master variables, control flow, functions, data structures (arrays, hash maps, sets), Object-Oriented Programming (OOP), and defensive exception handling.
    2. Month 4–6: Relational Databases, SQL & Data Modeling Master relational database modeling in PostgreSQL—table schemas, primary & foreign key constraints, normalization, indexing, complex JOIN queries, and connecting database queries to your backend server using an ORM or query builder (Prisma, SQLAlchemy, Hibernate).
    3. Month 7–9: REST APIs, Authentication, Middleware & Testing Build production-ready RESTful APIs with CRUD endpoints, request validation, JWT token authentication, role-based access control (RBAC), error middleware, and automated unit/integration test suites (Jest/PyTest).
    4. Month 10–12: Microservices Capstone, Docker, Cloud & Job Hunt Strategy Build 2 deployable capstone projects (e.g. an e-commerce order engine or multi-tenant booking API) containerized with Docker, deployed on AWS/Render with CI/CD, and prepare Data Structures and Algorithms (DSA) and system design interview questions.
  • Desde: Mechanical Engineer

    Engineers already excel at deterministic systems thinking; shifting to backend software translates those exact skills into substantially higher market compensation and location-independent flexibility.

    ⏱ 8–12 months (8 Months to 1 Year)🧭 Beginner-Friendly

    Lo que ya sabesComplex systems thinking & physical modeling · Root-cause failure mode analysis (FMEA) · Mathematical modeling & algorithmic aptitude

    Ver plan paso a paso
    1. Month 1–3: Engineering Logic to OOP Code Translate physical engineering schematics and state machines into Object-Oriented design patterns. Master OOP, memory management, and data structures in Java or Python.
    2. Month 4–6: Database Modeling & REST APIs Design relational database schemas (PostgreSQL) for complex physical workflows (inventory, telemetry, logistics) and construct robust RESTful APIs using Spring Boot or FastAPI.
    3. Month 7–9: Concurrency, Caching & Performance Implement Redis caching, multi-threading/async task queues, Docker containers, and API rate limiting for high-throughput backend services.
    4. Month 10–12: Industrial/FinTech Capstone & Technical Interviews Build a high-scale IoT sensor telemetry pipeline or financial transaction ledger, deploy on cloud infrastructure, and prepare for system design rounds.
  • Desde: QA Analyst / Tester

    QA professionals already know how software breaks; building backend services turns that defensive instinct into rock-solid production code with significantly higher earning power.

    ⏱ 3–5 months🧭 Beginner-Friendly

    Lo que ya sabesDeep knowledge of HTTP status codes & JSON payloads · Edge-case identification & defensive boundary testing · API testing tools (Postman, Swagger / OpenAPI, cURL)

    Ver plan paso a paso
    1. Month 1: From Testing APIs to Writing Server Logic Build your first backend server using Node.js or Python, learning how request routers, middleware, request validation, and status code responses work under the hood.
    2. Month 2: Database Schema & Query Optimization Design relational databases in PostgreSQL, implement foreign key constraints, indexes, ACID transactions, and connect via Prisma or SQLAlchemy.
    3. Month 3–4: Test-Driven Backend Engineering Leverage your QA superpower to write bulletproof, test-driven backend services with 90%+ unit and integration test coverage using Jest or PyTest.
    4. Month 5: Production Capstone & Internal Role Transition Build a production-grade microservice with authentication and rate limiting, and pursue internal team transfer or external junior backend openings.
  • Desde: Technical Support Specialist

    Support engineers already understand servers, networks, and production triage; moving to backend engineering transitions you from fixing other people's bugs to architecting core systems.

    ⏱ 4–6 months🧭 Moderate

    Lo que ya sabesLog analysis & server debugging instincts · Networking fundamentals (DNS, TCP/IP, Ports, SSL/TLS) · Linux CLI navigation & bash automation

    Ver plan paso a paso
    1. Month 1–2: Scripting to Structured Backend Code Upgrade from bash scripts to full backend programming in Python, Java, or Go. Master OOP, error handling, and core algorithms.
    2. Month 3–4: Relational Databases & REST Architecture Build databases in PostgreSQL, write complex SQL queries, and construct REST APIs with authentication (JWT/OAuth2) and validation.
    3. Month 5–6: Production Microservices & Observability Build containerized Docker services, configure structured logging and Prometheus metrics, and deploy live on AWS or GCP.
  • Desde: Operations / Business Analyst

    Backend developers who understand real-world business operations are invaluable because they translate messy business requirements into software without needing multiple layers of translation.

    ⏱ 8–12 months (8 Months to 1 Year)🧭 Moderate

    Lo que ya sabesComplex business logic & operational workflows · Spreadsheet modeling & structured analytical thinking · Process automation & edge case anticipation

    Ver plan paso a paso
    1. Month 1–3: Algorithmic Logic & Language Foundations Translate business rules and decision trees into clean, modular code using Python or Java.
    2. Month 4–6: Relational Database Architecture & SQL Design scalable relational schemas in PostgreSQL to model real-world business domains (orders, inventory, users, invoices).
    3. Month 7–9: Enterprise Backend Architecture & APIs Construct robust RESTful microservices with webhook listeners, authentication, and structured validation.
    4. Month 10–12: Enterprise Capstone & Interview Preparation Build an enterprise ERP or automated billing engine API with idempotency keys, payment gateway integration, and Docker deployment on cloud.
  • Desde: Banking / Finance Professional

    FinTech and banking tech firms pay top-of-market compensation for backend engineers who naturally understand ledgers, transactions, and regulatory constraints.

    ⏱ 8–12 months (8 Months to 1 Year)🧭 Moderate

    Lo que ya sabesFinancial transaction & ledger reconciliation logic · High-stakes accuracy & audit compliance discipline · Understanding of interest calculations, currencies & tax rules

    Ver plan paso a paso
    1. Month 1–3: Core Programming & Object-Oriented Design Learn Python or Java fundamentals, focusing on data structures, strong typing, and arithmetic precision for monetary values (BigDecimal).
    2. Month 4–6: Financial Database Schemas & ACID SQL Master PostgreSQL transactions, isolation levels (Serializable/Read Committed), and double-entry bookkeeping ledger tables in SQL.
    3. Month 7–9: Payment APIs, Webhooks & Idempotency Build secure payment processing REST endpoints with cryptographic signature verification, idempotency keys, and audit logs.
    4. Month 10–12: FinTech Backend Capstone & Interviewing Build and deploy a mock banking ledger or wallet service API on AWS and target high-paying FinTech backend developer positions.
  • Desde: Civil Engineer

    Software engineering offers rapid promotion cycles, higher compensation ceilings, and location-independent remote work compared to traditional construction and civil consulting.

    ⏱ 8–12 months (8 Months to 1 Year)🧭 Moderate

    Lo que ya sabesStructural blueprint reading & spatial logic · Mathematical modeling & load calculation · Project lifecycle budgeting & phase management

    Ver plan paso a paso
    1. Month 1–3: Coding Fundamentals & OOP Learn programming basics, data structures, and Object-Oriented principles in Python or Java.
    2. Month 4–6: Structural Data Modeling & SQL Apply structural systems thinking to relational database design in PostgreSQL, mastering queries, indexes, and ORMs.
    3. Month 7–9: REST APIs & Microservices Architecture Construct REST endpoints, request validation, authentication, and Docker containerization.
    4. Month 10–12: Cloud Backend Services & Capstone Build and containerize a project management or CAD asset processing backend API with Docker, deploy to AWS, and prepare for tech interviews.
  • Desde: Frontend Developer

    Unlock full-stack versatility, command higher salaries, and take complete ownership of core business logic.

    ⏱ 3–5 months🧭 Beginner-Friendly

    Lo que ya sabesJavaScript/TypeScript ecosystem · HTTP & REST APIs · JSON handling

    Ver plan paso a paso
    1. Month 1: Server Runtime & Node.js Deep dive into event loop, Node.js streams, Express middleware, and REST architecture.
    2. Month 2: Relational Databases & SQL Learn schema normalization, PostgreSQL indexing, transactions, and Prisma ORM.
    3. Month 3: Auth, Security & Testing Implement secure sessions, JWTs, rate-limiting, and comprehensive Jest integration tests.
    4. Month 4–5: Microservices & Cloud Deploy containerized Docker backend services on AWS/GCP with CI/CD pipelines.