Get Django Developers
Get Django Developers from Latin America
Backend engineers from Brazil, Argentina, and Colombia who build Django REST APIs and full-stack applications. They know the ORM deeply, structure projects for maintainability, and ship to production with proper test coverage.
Why LATAM for Django development
Strong cost savings
LATAM Django engineers cost 40-60% less than US equivalents. Senior engineers who command $150k in the US are available at $65k-$95k from Brazil or Argentina.
Real-time collaboration
Brazil is UTC-3, Colombia UTC-5. You get meaningful daily overlap with US East Coast and Central teams, enough for code reviews, async standups, and PR turnaround.
Technical English for API-driven work
Django REST work involves API design discussions, spec reviews, and integration documentation. LATAM Python developers are comfortable with technical English in all of these.
Deep Python ecosystem knowledge
Brazilian and Argentine universities produce strong CS graduates with solid Python foundations. Django expertise often comes alongside data engineering, ML infrastructure, or scientific computing experience.
Production Django experience
LATAM tech startups, especially in fintech and healthtech, run heavily on Django. Developers here have built multi-tenant SaaS platforms, payment integrations, and high-traffic REST APIs.
What our Django developers know
Django 4.x / 5.x
Celery + Redis (task queues)
PostgreSQL
pytest-django
Docker + Docker Compose
AWS / GCP deployment (ECS, Cloud Run)
GitHub Actions / GitLab CI
Sentry + structlogHow we vet Django developers
Every candidate completes all seven stages before you see their profile. You can also run your own technical round after our screening.
* For common roles like full-stack. Other roles typically take 7 to 10 days.
CV check
Stage 1We review experience, stack, seniority, and career history against the role before anyone is invited to interview. Most applicants stop here.
Behavioral interview
Stage 2A structured interview assessing communication style, conflict resolution, ownership mindset, and English proficiency in a professional context.
Technical interview 1
Role-specificA 90-minute live session covering Django ORM queries, including complex annotations, prefetch_related vs select_related decisions, and migration writing. Candidates design and partially implement a REST API using DRF or Django Ninja, including serializer validation, custom permissions, and viewset structure. We cover Celery task design for a realistic async job, and review a given code snippet for N+1 issues, missing indexes, or poor serializer structure. The session ends with a discussion of how they test Django views, background tasks, and external service integrations.
Technical interview 2
Stage 4A second, deeper round on system design, architecture tradeoffs, and code review, matched to the seniority you are hiring for.
Take-home assessment
Stage 5A practical assignment that mirrors real work. We review code quality, testing, documentation, and how the candidate explains their decisions.
Reference check
Stage 6We speak with at least two professional references who worked with the candidate, not personal contacts.
Background check
Stage 7Verification of work history, education, and identity with written consent, aligned with applicable privacy rules including LGPD where relevant.
After our screening, you can optionally run your own technical round before making an offer.
Sample profiles
Who you might hire
Anonymized profiles from our vetted talent pool. Actual candidates may vary.
Mid Django Developer
São Paulo, Brazil
3+ years experience
Senior Django Developer
Buenos Aires, Argentina
6+ years experience
Lead Django Developer
Medellín, Colombia
9+ years experience
Want to see profiles matched to your specific requirements?
Request matched profiles
What to expect
What sets our Django developers apart
Django developers in our network don't just write views and serializers. They think about query efficiency, test coverage, and how the system will behave under load. They use AI tools to handle the scaffolding so they can focus on architecture.
GitHub Copilot and Cursor for serializer generation, test case scaffolding, and migration writing. Routine Django tasks that used to consume half a day are done in minutes.
AI-assisted docstring and API documentation generation from existing code. Useful on projects where the codebase outgrew its docs.
They write integration tests for Celery tasks, external API calls, and permission boundaries, not just happy-path unit tests.
Clear PR descriptions with links to the relevant requirements. They document design decisions and performance tradeoffs in comments, not just in Slack.
They push back on scope changes that would break API contracts or introduce unnecessary complexity. Ownership means saying no when it matters.
LATAM vs US Django developer salaries
Junior Django Developer
Mid Django Developer
Senior Django Developer
Lead Django Developer
FAQ
Common questions
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