Get GraphQL Developers
Get GraphQL Developers from Latin America
API engineers from Brazil, Argentina, and Colombia who design and build GraphQL APIs across Node.js, Python, Java, and Go. They handle schema design, resolver architecture, N+1 prevention, and client integration, not just the basics.
Why LATAM for GraphQL development
Cost advantage
LATAM GraphQL developers cost 40-55% less than US equivalents. Senior engineers available at $55k-$82k who command $135k+ in the US market.
Timezone overlap
LATAM developers overlap with US teams for 4-8 hours. GraphQL API design involves close collaboration with frontend engineers. Real-time availability is practical.
Cross-team communication
GraphQL sits at the intersection of backend and frontend teams. LATAM developers in this space are used to coordinating schema changes across multiple consuming clients.
Full-stack API experience
GraphQL requires understanding both the server side (resolver architecture, data loaders) and the client side (query optimization, caching with Apollo or urql). LATAM developers bring this full-stack perspective.
Federation and microservices experience
As companies move to Apollo Federation and schema composition, LATAM GraphQL engineers with distributed subgraph experience are increasingly available.
What our GraphQL developers know
GraphQL SDL (Schema Definition Language)
Apollo Server (Node.js)
Strawberry (Python)
GraphQL-Java / DGS Framework
Apollo Client
TanStack Query + graphql-requestHow we vet GraphQL 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 75-minute live session covering schema design: candidates design a GraphQL schema for a given business domain, explaining type choices, relationship modeling, and pagination approach. We cover DataLoader: candidates identify an N+1 problem in a given resolver chain and implement the batching fix. The session includes Apollo Federation: how to split a schema across subgraphs, define entity references, and handle cross-service queries. We also discuss subscription implementation for real-time data, query complexity limits to prevent expensive operations, and how they'd generate TypeScript types from the schema.
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 GraphQL Developer
São Paulo, Brazil
4+ years experience
Senior GraphQL Developer
Buenos Aires, Argentina
6+ years experience
Lead API Engineer
Bogotá, Colombia
9+ years experience
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What to expect
What sets our GraphQL developers apart
GraphQL developers in our network treat the schema as a contract, not a convenience. They design for long-term maintainability, handle the N+1 problem correctly from the start, and document breaking vs non-breaking schema changes before they touch production. They use AI tools to speed up the routine parts of API development.
GitHub Copilot and Cursor for resolver scaffolding, DataLoader implementation, and GraphQL Codegen configuration. Schema boilerplate gets drafted faster, and they review it before it merges.
AI-assisted schema design review: they use tools like Copilot to flag potential N+1 patterns in a resolver graph before performance testing reveals them.
They run query complexity analysis in development and set hard limits before the API is public. Unbounded queries are a denial-of-service risk they take seriously.
Breaking schema changes come with a migration plan: deprecated fields before removal, versioned directives when needed, and advance notice to all client teams.
They generate TypeScript types from the schema with GraphQL Codegen, no manual type maintenance, no drift between schema and client types.
LATAM vs US GraphQL developer salaries
Junior GraphQL Developer
Mid GraphQL Developer
Senior GraphQL Developer
Lead API Engineer
FAQ
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