Hire GraphQL developers who design a schema your whole team can build against.
API layer specialists focused on schema design, resolver performance, and federation, engineers who treat the N+1 query problem as the first thing to design around, not the bug that shows up three months after launch.
A schema shaped around how clients actually query, not a 1:1 database mirror.
Batched, N+1-safe resolvers that stay fast as the schema grows.
Splitting a schema across services without duplicating types or logic.
Query depth and complexity limits so no single query can take the API down.
What strong GraphQL Developers know cold.
from $22/hr
A typical range. Your final rate depends on experience level, timezone overlap and how long you book for.
Four stages. Three percent get through.
- 01Screening38%Résumé, background, and communication check, the fastest way to rule out a bad fit.
- 02Technical Deep Dive22%A senior engineer probes real system design and stack depth, not trivia.
- 03Live Build Test9%A timed, real-world task. We watch how they actually ship, not just what they claim.
- 04Client Fit Interview3%Ownership, reliability, and how they work inside your team on day one.
- Shortlist in 48 hoursProfiles, not a waiting list.
- Free replacementWrong fit swapped at no cost.
- No conversion feeHire them direct whenever you want.
- IP yours from day oneAssigned in writing, not at handover.
- Month to monthNo lock-in, and no notice period.
Shipped, not slideware.
On camera, in their own words.
Why he brought his development work to Code Elevator.
Hiring for something adjacent?
Answered before you ask.
GraphQL earns its complexity when clients need flexible, nested queries across varied data shapes, mobile apps, multi-team frontends. For a simple CRUD API, REST is often genuinely simpler, and we'll say so rather than defaulting to GraphQL because it's the role on this page.
It's when a naive resolver fires one database query per item in a list instead of one batched query for all of them, the most common cause of a GraphQL API that's fast in testing and slow in production. We design resolvers around DataLoader-style batching from the start to prevent it.
Federation lets multiple services each own part of a combined schema, useful once you have several teams or services that should each control their own data. For a single service, a standard unified schema is simpler and usually the right call.
Query depth limits, complexity scoring, and persisted queries where it fits, so a single deeply nested or expensive query can't take down the API, which is a real and common attack surface specific to GraphQL.
Every way out of this hire is already written down.
Not a fit? Replace anyone in the first two weeks. No questions asked, no replacement fee. We re-match from the same vetted pool.
You pay only for engineers who actually start. Seeing candidates costs nothing.
Dedicated and managed engagements run on a monthly rolling contract. Cancel with notice.
You see the number before you commit. Nothing is added on top of it later.
Bring us the API. Three matched engineers in 48 hours.
New GraphQL layer or an existing schema that's slowing down under real traffic. We'll scope it against actual query patterns, not assumptions.
We reply within an hour during our working day in India and the UAE.