Get GraphQL Developers
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.
LATAM GraphQL developers cost 40-55% less than US equivalents. Senior engineers available at $55k-$82k who command $135k+ in the US market.
LATAM developers overlap with US teams for 4-8 hours. GraphQL API design involves close collaboration with frontend engineers — real-time availability is practical.
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.
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.
As companies move to Apollo Federation and schema composition, LATAM GraphQL engineers with distributed subgraph experience are increasingly available.
Every candidate completes all five stages before you see their profile. You can also run your own technical round after our screening.
A timed test measuring analytical thinking, pattern recognition, and problem-solving clarity, independent of specific programming language knowledge.
A structured interview assessing communication style, conflict resolution, ownership mindset, and English proficiency in a professional context.
A 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.
Verification of work history, education, and identity with written consent, aligned with applicable privacy rules including LGPD where relevant.
We speak with at least two professional references who worked with the candidate in an engineering context, not personal contacts.
After our screening, you can optionally run your own technical round before making an offer.
Sample profiles
Anonymized profiles from our vetted talent pool. Actual candidates may vary.
São Paulo, Brazil
4+ years experience
Buenos Aires, Argentina
6+ years experience
Bogotá, Colombia
9+ years experience
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Request matched profilesWhat to expect
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 that used to take hours gets done in minutes.
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.
Junior GraphQL Developer
Mid GraphQL Developer
Senior GraphQL Developer
Lead API Engineer
FAQ
Related roles
Tell us your API architecture and client stack. We'll have a shortlist in 3 days.
GraphQL SDL (Schema Definition Language)
Apollo Server (Node.js)
Strawberry (Python)
GraphQL-Java / DGS Framework
Apollo Client
TanStack Query + graphql-request