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Hire expert GraphQL developers

Your GraphQL schema is a long-lived contract. Our developers design it deliberately, batch resolvers with DataLoader, lock down query depth and cost, and evolve fields without breaking the clients already in production.

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Hire a GraphQL developer

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A cleaner way to hire GraphQL developers

Krapton offers dedicated engineers for companies that want to hire GraphQL developers able to design, secure, and evolve a schema that web, mobile, and partner clients all depend on. GraphQL moves complexity from the client to the server:...

Shortlist
24h
Replacement
30d
IP yours
100%

  • Schemas designed for clients

    A schema that mirrors database tables leaks implementation details and becomes hard to change. Our developers design types around what screens and partners need, use Relay-style connections for pagination, model expected failures as union result types, and retire fields with @deprecated instead of breaking clients.

  • Resolvers that stay efficient

    Naive resolvers issue one database query per list item. Engineers create a DataLoader per request so batching never leaks cached data between users, trace resolver timings to find slow fields, and move hot paths to joins or lookahead-based selects when batching alone is not enough.

  • Security beyond the endpoint

    With a single GraphQL endpoint, attacks arrive as query shapes rather than URLs. Engineers enforce depth and complexity limits, cap aliases and batched operations to block brute-force attempts, allowlist operations through persisted queries, and authorize at the field or type level instead of only at the gateway.

  • Contracts checked in CI

    Every schema change runs breaking-change detection with GraphQL Inspector, Rover, or Hive against real client operations before merge. Combined with GraphQL Code Generator on both sides, a renamed field fails a build instead of a mobile release already waiting in app store review.

Why GraphQL?

What makes GraphQL the right choice for modern engineering teams.

  • Declarative data fetching

    Clients specify exact data requirements in a single request, eliminating over- and under-fetching.

  • Strong typing

    Schema-first development with a type system that serves as a contract between client and server.

  • Real-time subscriptions

    Push updates to clients via WebSocket subscriptions for live dashboards and feeds.

  • Introspection

    Clients can query the schema itself, enabling powerful developer tooling and automatic documentation.

  • Federation

    Apollo Federation for composing multiple GraphQL services into a unified supergraph.

  • N+1 solution

    DataLoader batching eliminates the N+1 query problem in resolver chains.

What you can build with GraphQL

  • Backend-for-frontend layers

    A GraphQL layer in front of existing REST services and databases that gives web and mobile apps exactly the fields each screen needs, with caching and batching hiding the cost of the underlying calls.

  • Federated supergraphs

    Several teams owning their own subgraphs, composed through Apollo Federation into one graph served by Apollo Router or Hive Gateway, with entity keys, ownership rules, and composition checks on every pull request.

  • Realtime subscriptions

    Live order status, chat, and dashboards delivered over the graphql-ws protocol or Server-Sent Events, backed by Redis or Kafka pub/sub so subscriptions keep working when the server scales out.

  • Partner and public APIs

    Externally consumed graphs with API keys, cost budgets per client, documented deprecation windows, usage analytics per field, and introspection policies decided deliberately rather than left at framework defaults.

  • Headless commerce storefronts

    Storefronts that query product, pricing, and inventory data through GraphQL, from platforms such as Shopify’s Storefront API or a custom catalog service, with persisted queries cached at the CDN for fast pages.

  • Graphs over PostgreSQL

    Graphs generated or hand-built on PostgreSQL with Hasura, PostGraphile, or Pothos plus Prisma, with row-level authorization, cursor pagination, and query plans checked so the generated SQL stays fast.

Schema governance and resolver performance at scale

The performance profile of a GraphQL API is set by its resolvers, not its endpoint. A query for a page of orders with their customers and line items can trigger a separate database call for every nested object unless resolvers batch their lookups. Our engineers create DataLoader instances per request, never globally, so one user’s cached records cannot leak into another user’s response, and they check that batch functions return results in key order. Where batching is not enough, they read the query’s selection set to fetch only requested columns or join related tables in one statement. Every operation is also priced: depth limits, complexity scores per field, and caps on aliases and batched operations stop a single crafted query from exhausting the database. Resolver spans in OpenTelemetry then show which fields are slow in production.

Governance matters as much as speed, because a GraphQL schema outlives the screens it was first built for. Krapton’s developers treat the schema as a published contract: additions are safe, removals go through @deprecated with a stated reason, and field usage data from Apollo GraphOS or Hive shows when a deprecated field has stopped receiving traffic and can be deleted. In federated graphs, each subgraph team owns its types, entity keys are agreed in review, and composition plus breaking-change checks run on every pull request against operations recorded from real clients. Persisted queries give first-party apps a known set of operations, which tightens security and makes CDN caching possible. The result is a graph that several teams can change every week without coordinating each release in a meeting.

GraphQL in action

import { ApolloServer } from '@apollo/server';
import { startStandaloneServer } from '@apollo/server/standalone';
import DataLoader from 'dataloader';

const typeDefs = `#graphql
  type User { id: ID!, name: String!, posts: [Post!]! }
  type Post { id: ID!, title: String!, author: User! }
  type Query { users: [User!]!, post(id: ID!): Post }
  type Mutation { createPost(title: String!, authorId: ID!): Post! }
  type Subscription { postCreated: Post! }
`;

const resolvers = {
  Query: {
    users: () => db.users.findMany(),
    post: (_, { id }) => db.posts.findById(id),
  },
  User: {
    posts: ({ id }, _, { loaders }) => loaders.postsByUser.load(id),
  },
};

const server = new ApolloServer({ typeDefs, resolvers });

What our GraphQL developers know

Every Krapton developer is vetted with real production experience in GraphQL across multiple industry domains.

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  • Schema designDefining types, queries, mutations, and subscriptions with SDL.
  • Resolver implementationWriting efficient resolvers with DataLoader for batch database access.
  • Apollo ServerBuilding production GraphQL servers with caching, tracing, and federation.
  • Code generationUsing graphql-codegen to generate TypeScript types from the schema.
  • Apollo clientClient-side caching, optimistic updates, and subscription handling.
  • FederationDecomposing monolithic GraphQL APIs into federated subgraphs.

What our GraphQL developers go deep on

  • Schema design and SDL

    Schema-first SDL or code-first builders such as Pothos and TypeGraphQL, interfaces and unions used deliberately, nullability chosen with failure modes in mind, and Relay connection conventions for pagination.

  • DataLoader and resolver performance

    Per-request DataLoader instances, batch functions that return results in key order, lookahead to select only requested columns, and resolver-level tracing through OpenTelemetry so slow fields show up on dashboards.

  • Apollo Federation and gateways

    Subgraphs using @key, @shareable, and @requires, reference resolvers for entities, composition with Rover, and routing through Apollo Router, Hive Gateway, or WunderGraph Cosmo depending on licensing and hosting needs.

  • Client caching and codegen

    Apollo Client type policies and keyFields, Relay fragments and its compiler, urql graphcache, and GraphQL Code Generator presets that produce typed document nodes for React, Vue, and React Native.

  • Subscriptions and incremental delivery

    Subscriptions over graphql-ws rather than the deprecated subscriptions-transport-ws, Server-Sent Events where proxies block WebSockets, and @defer for slow fields where both server and client support it.

  • Security and operational controls

    Depth and cost limiting, persisted query allowlists, alias and batch caps, field-level authorization, restricted introspection on public endpoints, and error masking so stack traces never reach clients.

Common GraphQL projects we deliver

  • Replacing a sprawl of REST calls

    Mobile screens that need many round trips to render are a classic case. Engineers wrap the existing REST endpoints in a GraphQL layer, batch the downstream calls, and let clients migrate screen by screen while the REST API keeps serving older app versions.

  • Untangling a monolithic GraphQL server

    When one schema and one team become a bottleneck, engineers split the graph into federated subgraphs along domain lines, define entity ownership and keys, and move types gradually through the router so clients see no change in their queries.

  • Stopping expensive queries in production

    Deeply nested or heavily aliased queries can exhaust a database. Engineers analyze real traffic, add cost analysis and depth limits, introduce persisted queries for first-party clients, and set resolver timeouts so one heavy request cannot degrade everyone else.

  • Typing a frontend end to end

    React and React Native teams get fragments colocated with components, generated TypeScript types and typed document nodes, and an Apollo Client or urql cache configured with type policies so lists and mutations update correctly.

GraphQL solutions by industry

  • E-commerce

    Catalog, cart, and checkout data assembled from several services into one query per page, with persisted operations cached at the edge for fast storefronts.

  • Media and publishing

    Content graphs combining a headless CMS, recommendations, and user data, so web, TV, and mobile apps each request only the fields their layouts render.

  • Fintech

    Account, transaction, and portfolio views stitched together from multiple ledgers, with field-level authorization and audit logging on every query that touches sensitive data.

  • Enterprise platforms

    Organizations with many domain teams use federation so each team owns a subgraph while consumers still see a single, consistent API across the business.

GraphQL vs REST

Neither is better in general; they solve different problems. REST maps cleanly onto HTTP, so caching, status codes, and tooling work without extra effort, and it suits public APIs and simple resources. GraphQL earns its complexity when many clients need different slices of related data, when round trips hurt mobile performance, or when several teams need one consistent API over many backends.

GraphQL vs REST
DimensionGraphQLREST
Data fetchingClient selects exact fields in one requestFixed payloads; related data needs extra calls
HTTP cachingNeeds persisted queries or a normalized client cacheCDNs and browser caches work out of the box
EvolutionAdd fields, deprecate old ones, avoid versionsExplicit versions in the URL or headers
ErrorsPartial data plus an errors array per responseStatus codes understood by every client and proxy
Abuse protectionDepth, cost, and alias limits plus allowlistingRate limits per endpoint are simple to apply
Best fitMany clients with different data needsPublic APIs, simple resources, and file transfers

How to hire GraphQL developers in 5 steps

A transparent, low-risk process — from first call to onboarded engineer in about two business days.

  1. 01Day 0

    Share your brief

    Tell us the stack, scope, seniority and the timezone overlap you need on a free 30-minute discovery call. No obligation, no sales pitch.

  2. 02Within 24 hours

    Review matched profiles

    We shortlist 2–3 pre-vetted GraphQL engineers from our in-house bench, with CVs and directly relevant work — usually within one business day.

  3. 03Days 1–2

    Interview & test

    Interview each developer yourself, run a paid trial task, or do a live pairing session. You decide who joins — we never push a profile.

  4. 04Within 2 days

    Onboard securely

    Sign a free NDA, then plug the developer into your Jira, repository and Slack. Engagements are month-to-month with no lock-in.

  5. 05Ongoing

    Scale or replace

    Scale the team up or down month by month as the roadmap changes. If the fit is not right, you get a free replacement within the first 30 days.

More backend technologies

Other backend technologies we work with at Krapton.

Three ways to hire GraphQL developers

Pick the engagement that matches how you actually work. No multi-year contracts — scale up or down month by month.

  • Dedicated developer

    Most popular

    Full-time GraphQL engineer who reports only to you. Best for ongoing products, long-term roadmaps and teams that need a core hire without the HR overhead.

    • 40 hours / week
    • Your Jira, your repo
    • Month-to-month

  • Hourly / time & materials

    Pay only for billable hours. Ideal for research spikes, code audits, or variable-load GraphQL work where scope is still being discovered.

    • Weekly timesheets
    • Slack-first comms
    • No minimum commit

  • Fixed-price milestones

    Scoped delivery with clear milestones and acceptance criteria. Best for well-defined GraphQL builds like an MVP, a migration or a specific module.

    • Scope locked upfront
    • Milestone acceptance
    • Predictable budget

Compare ways to hire GraphQL developers

Pick the model that matches how you work. Switch between them as your GraphQL project evolves — no multi-year contracts.

Compare ways to hire GraphQL developers
EngagementDedicated developer (popular)Hourly / time & materialsFixed-price milestones
Best forOngoing products & long-term roadmapsExploratory or variable-load workWell-scoped MVPs, modules & migrations
BillingMonthly, full-time (~160 hrs)Per billable hourPer accepted milestone
CommitmentMonth-to-month, no lock-inNo minimum commitmentScope locked up front
FlexibilityScale up or down monthlyHighest — pay for what you useLowest — defined deliverables
You manageDay-to-day in your toolsWeekly prioritiesAcceptance criteria only
ReportingDaily standupsWeekly timesheetsMilestone demos

Hire GraphQL developers from anywhere

Our New Delhi team partners with founders and engineering leaders across eight key markets, with enough daily timezone overlap to feel in-house.

  • Hire GraphQL developers in India

    Full working-day overlap

    Krapton is an on-shore GraphQL studio in New Delhi. Hire GraphQL developers in India and get senior, full-time engineers at roughly 50–70% of US/UK rates — with English-fluent communication and IST working hours.

  • Hire GraphQL developers in USA

    4–6 hours of daily overlap — your morning, our evening

    Hire dedicated GraphQL developers for your USA team without the local price tag. US companies work with our vetted, full-time GraphQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire GraphQL developers in UK

    Overlap across your whole morning (our afternoon)

    Hire dedicated GraphQL developers for your UK team without the local price tag. UK companies work with our vetted, full-time GraphQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire GraphQL developers in Canada

    4–6 hours of daily overlap with ET and PT

    Hire dedicated GraphQL developers for your Canada team without the local price tag. Canada companies work with our vetted, full-time GraphQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire GraphQL developers in Australia

    Strong overlap — our morning is your afternoon

    Hire dedicated GraphQL developers for your Australia team without the local price tag. Australia companies work with our vetted, full-time GraphQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire GraphQL developers in UAE

    Near-complete overlap — just 90 minutes apart

    Hire dedicated GraphQL developers for your UAE team without the local price tag. UAE companies work with our vetted, full-time GraphQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire GraphQL developers in Germany

    Overlap through your morning and our afternoon (DACH)

    Hire dedicated GraphQL developers for your Germany team without the local price tag. Germany companies work with our vetted, full-time GraphQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire GraphQL developers in Singapore

    Near-complete overlap — only 2.5 hours apart

    Hire dedicated GraphQL developers for your Singapore team without the local price tag. Singapore companies work with our vetted, full-time GraphQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

GraphQL developer rates

Hire dedicated GraphQL developers from Krapton's team in India. Rates below are blended hourly bands; dedicated developers are billed monthly with no lock-in.

Get a tailored quote

  • Junior (1–3 yrs)

    Feature work under senior review

    $22–$28/hr

  • Mid-level (3–6 yrs)

    Owns modules end-to-end

    $28–$36/hr

  • Senior / lead (6+ yrs)

    Architecture, reviews, mentoring

    $36–$45/hr

Why teams hire GraphQL developers from Krapton

Projects delivered
50+
In-house engineers
60+
Average client rating
4.8/5
On-time delivery
98%

  • Vetted, full-time engineers

    Every GraphQL developer is a full-time, in-house Krapton engineer — never a freelancer or subcontractor.

  • Ready in 24 hours

    Shortlisted GraphQL CVs within a business day and an onboarded developer within two.

  • Clear hourly rates

    Published hourly bands by seniority, billed monthly, with no lock-in.

  • Your IP, your repos

    Full IP assignment, free NDA on request, and all code in your accounts from day one.

  • 30-day replacement

    Not the right fit? Free replacement within five business days in the first 30 days.

  • Real timezone overlap

    4–6 hours of daily overlap with US, UK, EU, UAE and AU teams for live collaboration.

Services that pair well with GraphQL

Most GraphQL engagements also benefit from these Krapton services. Browse full offerings on the services page.

Hire GraphQL developer

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Hiring GraphQL developers — answered

Practical answers to the questions CTOs and founders ask us most often before they hire.

How quickly can I hire a GraphQL developer from Krapton?

Within 24 hours of the initial call. We keep a bench of pre-vetted GraphQL engineers, so once you confirm the brief we line up two or three shortlisted CVs within a business day and can onboard the selected developer within two.

How much does it cost to hire a dedicated GraphQL developer from India?

Blended hourly rates for senior GraphQL engineers typically fall in the $22–$45 USD range depending on seniority and engagement length. Dedicated developers are billed monthly with no lock-in.

Are your GraphQL developers full-time employees or freelancers?

Every GraphQL developer you hire through Krapton is a full-time, in-house engineer — we never subcontract to freelancers or agencies. That means consistent code quality, signed NDAs, and a single point of accountability for your project.

Who owns the code and IP my GraphQL developers write?

You do — 100%. IP assignment and confidentiality are covered by the contract and a free NDA on request. All code lives in your repositories, on your infrastructure, under your accounts from day one.

What should a senior candidate know when we hire GraphQL developers?

Resolver mechanics and schema judgment matter more than syntax. A senior candidate can explain the N+1 problem and per-request DataLoader caching, design pagination with connections, choose between union result types and the errors array for expected failures, and describe how depth limits, cost analysis, and persisted queries protect a public endpoint. For larger graphs, they understand federation entities, composition checks, and safe field deprecation.

Should we use GraphQL or REST for our next API?

Use GraphQL when several clients need different views of related data, when mobile round trips are hurting performance, or when you need one API over many services. Stay with REST for public APIs that benefit from HTTP caching, simple CRUD resources, file transfers, and teams without GraphQL experience. Many products run both, with GraphQL serving first-party apps and REST serving partners and webhooks.

How do you add GraphQL to an existing REST backend?

Usually as a layer in front of it, not as a replacement. Engineers model the schema around client needs, implement resolvers that call the existing REST services or databases with batching and caching, and migrate screens one at a time. The REST API keeps serving older app versions and partners until usage data shows it can be reduced, which keeps the migration low risk.

How do you test and monitor a GraphQL API?

With layered tests plus production tracing. Unit tests cover resolvers and DataLoader batch functions, integration tests run real operations against a test database, and schema checks catch breaking changes against recorded client operations. In production, OpenTelemetry spans per resolver, field usage metrics, and error rates per operation name show which queries are slow, failing, or no longer used by any client.

Which GraphQL server and federation versions should we standardize on?

Pick by language and hosting first, then by version. For TypeScript, Apollo Server and GraphQL Yoga are both mature; Strawberry suits Python, gqlgen suits Go, and Spring for GraphQL suits Java. For federation, Apollo Federation v2 is the current standard, served by Apollo Router or open alternatives such as Hive Gateway. Upgrades are planned around the deprecations each project announces in its changelog.

Keep exploring

More ways to plan your GraphQL build and team with Krapton.

Ready to build with GraphQL?

Get a free 30-minute consultation with our GraphQL team. Clear roadmap, transparent pricing, no obligation.

  • Free NDA on request
  • Response within 24 hours
  • Certified GraphQL developers
  • Flexible engagement models
  • US, UK, UAE & India clients served

Let's start your first project at reasonable prices.

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