Hire GraphQL Engineering
for unified data access

From schema-first design and federation to subscriptions and real-time data, our GraphQL engineers build flexible, performant API layers that give clients exactly the data they need.

Discuss your GraphQL project

Schema-first design with SDL, code-first with TypeGraphQL & Hot Chocolate

Query optimization, persisted queries & automatic persisted queries (APQ)

Apollo Federation & GraphQL mesh for microservices data stitching

Real-time subscriptions with WebSockets & Server-Sent Events

Security with query depth limiting, rate limiting & persisted operations

Core Capabilities

What we build
with GraphQL

Unified API Layer

Single endpoint, multiple sources

A single GraphQL endpoint aggregating data from REST APIs, databases, gRPC services, and third-party systems, giving frontend teams the flexibility to request exactly what they need.

Federation & Microservices

Distributed and composable

Apollo Federation and GraphQL Mesh supergraphs that stitch together data from multiple microservices into one coherent graph, enabling independent team ownership of subgraph schemas.

Real-Time Subscriptions

Live data and event-driven

GraphQL subscriptions over WebSockets, delivering real-time updates for dashboards, chat, notifications, and collaborative features with automatic reconnection and error handling.

How It Works

From architecture to
production

Schema Design &
Federation

We design the GraphQL schema with your domain experts, define types, queries, mutations, and subscriptions, and plan the federation strategy for multi-service architectures.

Agile
Development

Our enterprise solution engineers work in 2-week sprints with continuous integration and demo cycles. You see working APIs every step of the way.

Testing &
CI/CD

Comprehensive test suites with Jest, Vitest, and integration tests. Our QA specialists and DevOps engineers ensure every schema change is validated against client queries before deployment.

Deployment &
Monitoring

Apollo Studio and GraphOS for schema registry, operation monitoring, and field-level tracing. Production observability with OpenTelemetry, Prometheus, and Grafana dashboards.

Hire GraphQL Developers

GraphQL engineers ready
to join your team

Accelerate your API development with dedicated GraphQL developers who design efficient, client-centric data APIs from day one.

Hire GraphQL Developers

Why product Enhancement

Improve with intent,
not impulse

AI-assisted
schema review

AI tools review GraphQL schemas for best practices, catch N+1 resolver issues, and validate schema changes against existing frontend queries to prevent breaking changes.

AI-powered
testing

Automated test generation for GraphQL resolvers, mutations, and subscriptions, generating realistic query patterns and edge cases from schema introspection.

Query
optimization

AI-driven analysis of query complexity, DataLoader batching efficiency, and resolver performance, identifying optimization opportunities across the graph.

Intelligent
automation

AI-generated GraphQL SDL from REST API documentation, automatic resolver scaffolding, and smart code generation for type-safe client SDK generation with codegen.

FAQ

Frequently Asked
Questions

GraphQL eliminates over-fetching and under-fetching by letting clients specify exactly what data they need. It provides a strongly typed schema, reduces the number of API round trips, and enables frontend and backend teams to work independently with schema as the contract.

We work with Apollo Server (Node.js), Hot Chocolate (.NET), GraphQL-Java (Spring Boot), Yoga, Mercurius (Fastify), and Hasura (Postgres-to-GraphQL). We choose based on your existing stack and performance requirements.

We use DataLoader for batching and caching, persisted queries to reduce payload size, query complexity analysis with depth limits, response caching with Redis, and Apollo Federation for distributing load across services.

Yes. We design supergraph architectures with Apollo Federation v2, Rover CLI for schema composition, and GraphOS for managed federation. This allows independent teams to own their subgraphs while presenting a unified API.

We implement query depth limiting, rate limiting, persisted operations (trusted document lists), field-level authorization with directives, JWT and OAuth2 integration, and schema-level access control to prevent introspection abuse.