Get Backend Developers
Get Backend Developers from Latin America
Backend engineers who build reliable APIs, data pipelines, and service infrastructure. Whether your stack is Node.js, Python, Go, Java, or .NET, LATAM has experienced engineers who know these stacks in production.
Why LATAM for backend development
40-55% cost advantage
Senior backend developers in LATAM cost $65-95k vs $150-190k in the US. Backend expertise, especially across systems design and database optimization, is well represented in LATAM.
Production backend experience
LATAM's fintech, logistics, and SaaS sectors have produced backend engineers who understand throughput, latency, and failure modes at real scale.
Strong CS foundations
Algorithms, data structures, operating systems, and networking are core subjects in LATAM CS programs. Backend engineers here have the fundamentals, not just framework familiarity.
Real-time collaboration hours
4-8 hours of daily overlap with US teams. Systems design discussions and incident response benefit from synchronous time.
Multi-language capability
Many LATAM backend engineers are comfortable in multiple languages. Node.js and Python are common primary stacks; Go and Java are well-represented secondary options.
What our backend developers know
Node.js / Express / Fastify / NestJS
Python / FastAPI / Django
Go / Gin / Chi
Java / Spring Boot
.NET / ASP.NET Core
GraphQL (Apollo Server, Strawberry)
PostgreSQL
MySQL / MariaDB
MongoDB
Redis
Elasticsearch
Apache Kafka
RabbitMQ
AWS SQS / SNS
Docker
Kubernetes
GitHub Actions / CI pipelines
OpenTelemetry / Prometheus / GrafanaHow we vet backend 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 session covering systems design and API architecture. Candidates work through a real backend problem: designing a rate-limited API with background job processing, proper error handling, and database query optimization. We assess their understanding of distributed systems tradeoffs, their database indexing and query optimization skills, and how they think about failure modes. The session is language-aware, covering specifics of their primary language's concurrency and error handling model.
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.
Senior Backend Developer
São Paulo, Brazil
7+ years experience
Mid Backend Developer
Bogotá, Colombia
4+ years experience
Lead Backend Developer
Buenos Aires, Argentina
9+ years experience
Want to see profiles matched to your specific requirements?
Request matched profiles
What to expect
What sets our backend developers apart
Backend work is mostly invisible when it's done well. Our engineers design for that: APIs that return consistent errors, queries that don't blow up under load, and services that recover gracefully from failures.
GitHub Copilot for generating API routes, database migrations, and integration test boilerplate. They spend time on architecture and optimization decisions.
AI-assisted query analysis: using AI tools to review SQL queries for missing indexes, unnecessary joins, and N+1 patterns.
They add observability from day one: structured logging, distributed tracing, and health endpoints are not optional.
Clear API documentation as part of delivery. They don't ship an API endpoint without an OpenAPI spec or at minimum a README section.
They design for failure explicitly: retry logic, circuit breakers, and graceful degradation are standard parts of their service designs.
LATAM vs US backend developer salaries
Junior Backend Developer
Mid Backend Developer
Senior Backend Developer
FAQ
Common questions
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Ready to meet your backend developers?
Tell us your stack and team size. We'll have a shortlist ready in 3 days.