Hire Remote TypeScript Developers

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Hire Senior TypeScript Developers Who Make Large Codebases Maintainable

TypeScript is the difference between a JavaScript codebase that scales gracefully and one that becomes unmaintainable after six months of growth. It’s not just a language feature — it’s an engineering discipline. The developers who truly master it aren’t just adding type annotations; they’re designing type systems that make incorrect states unrepresentable, APIs self-documenting, and team onboarding 3x faster.

That’s the caliber of TypeScript engineer we staff. Our developers have applied TypeScript at enterprise scale — building the typed front-end systems, API layers, and shared libraries that Fortune 500 companies and unicorn startups rely on to ship product at speed without accumulating crippling type debt.

What Our TypeScript Developers Build

Type-Safe React Applications

Fully typed React components, custom hooks, Context providers, and state management. Our TypeScript engineers enforce strict mode from day one — no any, no implicit unknown, no type assertions that paper over design problems.

NestJS & TypeScript Backend APIs

NestJS is the TypeScript-native way to build Node.js APIs — modules, decorators, dependency injection, DTOs, and Guards all backed by TypeScript’s type system. Our engineers build NestJS services where the API contract is enforced at compile time, not discovered at runtime.

Shared TypeScript Monorepos

Turborepo and Nx-based monorepos with shared type definitions, API contracts, and utility libraries that ensure type consistency across front-end, back-end, and mobile applications. Our engineers eliminate the type drift that causes integration bugs when teams work in separate repositories.

TypeScript SDK & Library Development

Public and internal TypeScript libraries with precise generic types, discriminated unions, and branded types that make the library a joy to use — with IntelliSense that guides consumers toward correct usage.

GraphQL with TypeScript

Type-safe GraphQL schemas using GraphQL Code Generator, Pothos, or TypeGraphQL — with end-to-end type safety from database to API to front-end query. Our engineers make GraphQL and TypeScript work together so that schema changes propagate as compiler errors, not runtime surprises.

TypeScript Technology Stack

Front-End: React + TypeScript, Next.js, Vue 3 + TypeScript, Angular

Back-End: NestJS, Express + TypeScript, Fastify, tRPC

Tooling: TypeScript 5.x, ts-node, tsx, tsup, tsc

Monorepo: Turborepo, Nx, pnpm workspaces

GraphQL: GraphQL Code Generator, Pothos, TypeGraphQL, Apollo Client

Testing: Jest + ts-jest, Vitest, Playwright, type-level testing with expect-type

ORM: Prisma, Drizzle ORM, TypeORM, MikroORM

Validation: Zod, Valibot, class-validator

Client Success Story: JavaScript-to-TypeScript Monorepo Migration for a High-Growth SaaS

A high-growth B2B SaaS company with a React front-end, NestJS API, and React Native mobile app was operating three separate JavaScript repositories with no shared type definitions. Runtime type mismatches between the API and clients were causing weekly production incidents, and engineers estimated they spent 40% of debugging time on issues TypeScript would have caught at compile time. Our TypeScript engineers led a migration to a Turborepo monorepo with strict TypeScript across all three packages — shared Zod schemas for API contracts, auto-generated tRPC types from NestJS controllers to React clients, and strict mode enforced from day one. Type-related production incidents dropped to zero within the first month. Feature delivery time decreased 35%. New engineer onboarding dropped from six weeks to two.

Client Success Story: TypeScript Adoption for a Risk-Critical Financial Platform

A financial technology platform processing hundreds of millions of dollars in transactions monthly was running a large JavaScript codebase with no type safety — a risk that had materialized into costly production incidents involving incorrect data type assumptions in payment calculation logic. Our TypeScript engineers performed a systematic migration, prioritizing the payment processing and reporting modules first, introducing Zod validation at every API boundary, and establishing a TypeScript coding standard the internal team could enforce going forward. The payment module went eleven months without a type-related production incident after the migration — the longest incident-free period in the product’s history — a milestone cited in the company’s annual compliance audit report.

Why Companies Choose Our TypeScript Developers

  • Strict mode advocates: They run "strict": true and treat every any as a design problem to solve, not a shortcut to take
  • Type system mastery: Conditional types, mapped types, template literal types, discriminated unions, branded types — our engineers use TypeScript’s advanced type system to make illegal states unrepresentable
  • End-to-end type safety: They connect front-end and back-end with tRPC, GraphQL Code Generator, or shared type packages so the compiler catches integration bugs before they reach production
  • Fast onboarding: Typed codebases onboard new engineers 3x faster — a direct productivity multiplier that compounds as your team grows
  • 50% cost savings: Fully-burdened rates including salary, benefits, taxes, and HR

Engagement Models

  • Individual TypeScript Engineer — One senior TypeScript developer embedded in your existing team. Ideal for migrating a JavaScript codebase to strict TypeScript, introducing types to a monorepo, or owning the typed API layer connecting front-end and back-end.
  • Full-Stack TypeScript Pods (2–4 engineers) — React front-end, NestJS back-end, and shared type definitions in a single coordinated squad. For companies building type-safe end-to-end systems from day one.
  • Full TypeScript Teams (5–20+ engineers) — Complete engineering organizations with TypeScript across the entire stack — monorepo architecture, shared Zod schemas, auto-generated API types, and strict mode enforced at scale.
  • Contract-to-Hire TypeScript Engineers — Evaluate a TypeScript developer’s type design instincts in your actual codebase before making a permanent commitment.

How To Vet TypeScript Developers

Our TypeScript vetting filters for engineers who use the type system as a design tool — not just a syntax layer on top of JavaScript. The four-stage process:

  1. Technical screening — TypeScript type system depth: discriminated unions, conditional types, mapped types, branded types, template literal types. Strict mode philosophy, Zod validation patterns, and end-to-end type safety approaches (tRPC, GraphQL Code Generator). Over 90% of applicants are filtered at this stage.
  2. Take-home exercise — Design a type system for a realistic domain: a multi-state workflow or a form with validated/unvalidated variants. Evaluated specifically on whether illegal states are genuinely unrepresentable — not just annotated with any.
  3. Live technical interview — Code review of a TypeScript codebase with intentional type-system weaknesses embedded. System design for a monorepo with shared types across React, NestJS, and React Native packages.
  4. Communication and collaboration screening — TypeScript discipline only compounds in teams. We assess whether candidates can advocate for type safety during code review without becoming a friction point.

What to Look for When Hiring TypeScript Developers

Senior TypeScript engineers think about types as a design tool — they design type systems that enforce correct usage, not annotations applied after the fact.

What strong candidates demonstrate:

  • They make illegal states unrepresentable using discriminated unions and branded types — they can design a type where ValidatedUser and UnvalidatedUser have genuinely different available properties, enforced by the compiler
  • They understand the practical difference between type and interface and have a real opinion about when each applies
  • They run strict mode from project initialization and never accumulate @ts-ignore debt as a shortcut
  • They can explain the difference between unknown and any and why the distinction matters for library authors and API boundaries

Red flags to watch for:

  • Extensive use of type assertions (as SomeType) to bypass the type checker rather than redesigning the underlying type
  • Unable to explain what conditional types or mapped types are without looking them up during the interview
  • Treating TypeScript as “JavaScript with annotations” rather than a language with its own design constraints and idioms
  • No experience with Zod, Valibot, or runtime schema validation at API boundaries — a sign they haven’t considered runtime/compile-time type alignment

Interview questions that reveal real depth:

  • “Design a TypeScript type for a form field that can be in an unvalidated state (no constraints on the value) and a validated state (value conforms to a schema with error metadata available). What type-level constructs would you reach for?”
  • “When would you choose type over interface? Give me a concrete case where the choice is non-trivial.”
  • “How would you achieve end-to-end type safety between a NestJS backend and a React frontend in a Turborepo monorepo — without duplicating type definitions across packages?”

Frequently Asked Questions

Do your TypeScript developers use strict mode?
Yes — strict mode is the default for all our TypeScript engineers. They configure tsconfig.json with "strict": true from day one, which enables strictNullChecks, noImplicitAny, and the full battery of type-safety checks. For existing codebases with looser configurations, they can incrementally tighten the type constraints.
Can your TypeScript developers work in our existing JavaScript codebase?
Yes. Our TypeScript engineers regularly work in incremental migration scenarios — introducing TypeScript file-by-file, adding allowJs: true to tsconfig, and systematically converting the highest-value modules first while the rest of the team continues shipping features.
Do your TypeScript developers have experience with tRPC or GraphQL Code Generator?
Yes. Both tRPC and GraphQL Code Generator are standard tools in our TypeScript engineers’ toolkit for achieving end-to-end type safety between front-end and back-end. We’ll match you with engineers who have direct production experience in the approach that fits your architecture.
How quickly can a TypeScript developer start?
Most TypeScript engineers can begin within 1–2 weeks. You interview and approve every candidate before any engagement starts.

Want to Hire Remote TypeScript Developers?

We specialize in sourcing, vetting, and placing senior remote TypeScript engineers — from individual developers who bring strict type discipline to a JavaScript-first team, to full TypeScript organizations building monorepos, end-to-end typed APIs, and financial-grade platforms where incorrect type assumptions have real consequences. We make it fast, affordable, and low-risk.

Get matched with TypeScript developers →

Ready to hire TypeScript developers who make illegal states unrepresentable — and keep your codebase maintainable as your team grows? Contact us today and we’ll introduce you to senior TypeScript engineers within 48 hours.

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