Choose from a wide range of CV templates and customize the design with a single click.
Use ATS-optimised CV and resume templates that pass applicant tracking systems. Our CV builder helps recruiters read, scan, and shortlist your CV faster.
Use professional field-tested resume templates that follow the exact CV rules employers look for.
Create CV
Use professional field-tested resume templates that follow the exact CV rules employers look for.
Create CVDjango developers occupy a very specific niche inside backend engineering hiring pipelines. Unlike general Python developers, Django specialists are evaluated primarily on their ability to build production-ready web platforms, design scalable backend architectures, and integrate complex database-driven applications.
However, many Django developer resumes fail ATS screening because they are written like general Python resumes. They mention Python broadly but fail to clearly signal Django framework expertise, web architecture knowledge, and production web application experience.
Modern hiring pipelines filter Django candidates quickly using keyword matching, backend architecture signals, and measurable application performance outcomes.
An ATS friendly Django Developer resume template must clearly communicate these signals:
production Django application development
backend architecture and REST API design
database modeling and query optimization
deployment and scaling of Django applications
This guide explains how ATS systems interpret Django developer resumes, how recruiters actually screen Django engineers, and how to structure a resume template that consistently ranks well in backend engineering hiring pipelines.
Applicant Tracking Systems classify Django developers using framework-specific keywords and backend engineering signals.
Unlike generic software engineer roles, Django developer screening relies heavily on framework identification.
The system searches for combinations of the following signals:
Django Framework Signals
Django
Django REST Framework
Django ORM
Django Middleware
Django Admin
Backend Engineering Signals
REST API development
Many backend engineers unintentionally weaken their resumes by presenting themselves as general Python developers instead of Django specialists.
Three recurring problems appear in rejected resumes.
Some candidates list Python extensively but mention Django only briefly.
Weak Example
Python
Flask
Django
APIs
Databases
This weakens Django specialization.
Good Example
Django developer resumes should emphasize backend engineering signals immediately.
Recommended section order:
Professional Summary
Django & Backend Technologies
Professional Experience
Backend Development Projects
Education
Certifications (optional)
This structure ensures ATS systems extract Django-specific keywords early.
database schema design
authentication systems
caching mechanisms
Infrastructure Signals
PostgreSQL or MySQL
Redis caching
Docker deployment
AWS or cloud hosting
Resumes that mention Python without clearly connecting it to Django often rank lower.
Developed scalable web applications using Django and Django REST Framework
Implemented database models and query optimization using Django ORM
Explanation: ATS ranking improves when Django is connected directly to backend implementation work.
Another common problem is describing features instead of backend engineering work.
Weak Example
Built a user login feature for a web application.
Good Example
Implemented authentication and authorization system using Django authentication framework with token-based API access for secure user sessions.
Explanation: Backend architecture context signals stronger engineering capability.
Django developers are often evaluated on database and API design capability.
Resumes that omit these areas may appear incomplete.
Important signals include:
database schema design
Django ORM optimization
REST API development
API performance improvements
These elements help recruiters evaluate backend depth.
A Django developer summary must communicate framework specialization and backend engineering expertise.
Weak Example
Python developer experienced in building web applications.
This does not signal Django expertise.
Good Example
Django Developer specializing in scalable backend systems and REST API architecture for modern web applications. Experienced in building database-driven platforms using Django ORM, implementing secure authentication systems, and optimizing backend performance for high-traffic environments.
Explanation: The summary should establish Django specialization immediately.
The technology section is critical for ATS keyword extraction.
Instead of listing random technologies, group them by backend function.
Example structure:
Backend Frameworks
Django
Django REST Framework
Programming Languages
Python
JavaScript
Databases
PostgreSQL
MySQL
SQLite
Caching & Performance
Redis
Celery Task Queues
Deployment & Infrastructure
Docker
AWS
Nginx
Gunicorn
Development Tools
Git
CI/CD Pipelines
Unit Testing
This layout helps ATS systems recognize backend engineering specialization.
Recruiters evaluating Django developers focus heavily on production web application experience.
Each bullet point should highlight:
backend component implemented
Django features used
database or API complexity
performance improvements
Weak Example
Worked on a Django web application.
Good Example
Developed RESTful APIs using Django REST Framework supporting e-commerce platform handling over 500K monthly user requests.
Explanation: Recruiters evaluate Django engineers based on real-world application scale and backend complexity.
Strong Django resumes frequently include backend optimization achievements.
Examples include:
database query optimization
caching implementations
API performance improvements
background task processing systems
Example bullet point:
Optimized Django ORM database queries reducing average API response time by 45%.
These signals strongly influence recruiter interest.
Projects are valuable when they demonstrate full backend architecture.
Important elements include:
database modeling
REST API architecture
authentication systems
asynchronous processing
Weak Example
Created a blog application using Django.
Good Example
Developed full-stack blogging platform using Django and PostgreSQL featuring REST API endpoints, user authentication, and asynchronous background tasks powered by Celery.
Explanation: Backend architecture complexity increases credibility.
Even strong Django developers sometimes lose ATS ranking due to formatting errors.
Avoid the following:
two-column resume layouts
graphical skill bars
embedded project screenshots
complex tables
ATS systems parse simple text structures more reliably.
Below is a complete example structured specifically for ATS parsing and recruiter evaluation.
MATTHEW COLLINS
Django Developer
Denver, Colorado
Email: matthew.collins@email.com
LinkedIn: linkedin.com/in/matthewcollins
PROFESSIONAL SUMMARY
Django Developer with 5+ years of experience building scalable backend systems and RESTful APIs for modern web platforms. Specialized in Django REST Framework, database-driven application development, and backend performance optimization. Proven ability to design secure authentication systems, optimize database queries, and deploy production Django applications in cloud environments.
DJANGO & BACKEND TECHNOLOGIES
Backend Frameworks
Django
Django REST Framework
Programming Languages
Python
JavaScript
Databases
PostgreSQL
MySQL
SQLite
Caching & Performance
Redis
Celery Task Queues
Deployment & Infrastructure
Docker
AWS
Nginx
Gunicorn
Development Tools
Git
CI/CD Pipelines
Unit Testing
PROFESSIONAL EXPERIENCE
Django Developer
WebCore Solutions – Denver, CO
2021 – Present
Developed scalable RESTful APIs using Django REST Framework supporting SaaS platform used by over 300K active users.
Implemented PostgreSQL database schema design and optimized Django ORM queries improving API performance by 40%.
Integrated Redis caching layer reducing backend response latency for high-traffic endpoints.
Built asynchronous background processing system using Celery for handling email notifications and scheduled tasks.
Deployed containerized Django applications using Docker and AWS infrastructure.
Python Web Developer
Digital Platform Labs – Austin, TX
2019 – 2021
Developed backend services using Django supporting content management platform for media organizations.
Implemented authentication and user permission system using Django authentication framework.
Designed REST API endpoints enabling integration with mobile and frontend web applications.
BACKEND DEVELOPMENT PROJECTS
E-Commerce API Platform
Designed Django REST Framework backend supporting product catalog, user authentication, and payment processing APIs.
Implemented PostgreSQL database architecture and caching system using Redis for improved performance.
Task Management SaaS Application
Built project management platform using Django, PostgreSQL, and Celery background workers.
Implemented real-time notifications and user activity tracking through REST API services.
EDUCATION
Bachelor of Science – Computer Science
University of Colorado Boulder
Recruiters evaluating Django engineers typically focus on three signals.
Recruiters prefer candidates who have built real applications rather than simple projects.
Examples include:
SaaS platforms
e-commerce systems
enterprise web applications
Production experience signals backend maturity.
Because Django is database-driven, recruiters evaluate:
schema design
database query optimization
ORM usage
These skills are critical for backend performance.
Modern Django roles frequently involve building APIs for frontend applications.
Signals that strengthen resumes include:
REST API development
API security implementation
API performance optimization
These demonstrate backend engineering depth.
Upload CV
Import from Linkedin
