Runtime and frameworks
We ask candidates to explain the event loop, asynchronous failure handling and framework lifecycle, then reason through CPU-heavy work or an overloaded endpoint.
- Node.js
- NodeJS
- NestJS
- Express
- TypeScript
- JavaScript
UK, Europe, USA
Node.js developer recruitment
Node.js engineers screened for API design, asynchronous systems, data and dependable production delivery.
Instruct us
Technical screening by developers and CTOs is included.
Node.js recruitment beyond syntax checks
We recruit Node.js developers across NestJS, Express and TypeScript environments. Technical assessment covers asynchronous behaviour, service and API design, persistence, queues, testing and the operational decisions behind maintainable Node.js systems.
When to hire Node.js developers: An API-focused product team. An integration or event-driven platform. A TypeScript team sharing code across frontend and backend.
Technologies, requirements and soft skills
We distinguish product API work, integration-heavy services, event-driven systems and platform ownership before sourcing.
Data access
We probe ORM-generated queries, transactions, indexes and cache invalidation by asking candidates to diagnose incorrect data or degraded query performance.
- Prisma
- TypeORM
- Mongoose
- PostgreSQL
- MongoDB
- Redis
Services and queues
We ask how jobs remain idempotent, retries avoid duplicate effects and API contracts evolve safely while workers or dependent services run different versions.
- RESTful APIs
- Microservices
- GraphQL
- BullMQ
- Temporal
Soft skills and working style
We look for engineers who think beyond the immediate ticket, remain calm when production systems fail and make careful changes while communicating contracts and risks clearly to dependent teams.
- Systems thinking
- Ownership
- Careful judgement
- Incident composure
- Collaborative API design
How we screen Node.js developers
The assessment tests runtime understanding and system design in the context of the services the candidate will own.
Runtime behaviour
Asynchronous work, concurrency, error handling and performance trade-offs.
Service architecture
API contracts, NestJS or Express structure, queues and integration boundaries.
Data and operations
ORM decisions, database behaviour, testing, observability and deployment.
What every candidate needs to demonstrate
Tool names are not enough. Across every role, we look for technical depth, disciplined use of AI and an honest approach to solving unfamiliar problems.
Understands what happens behind the scenes
We keep asking why and how until we reach the underlying behaviour. Candidates should understand what their framework, runtime, database, browser, cloud service or design tool is doing for them, how they work behind the scenes (and why), and how they would investigate a failure without relying on copying fixes from ChatGPT.
Uses AI with engineering discipline
We expect candidates to use AI productively, but never as a substitute for judgement. They need to explain how they verify generated code, designs and tests, protect confidential data, catch unsafe assumptions and remain accountable for the result. We expect them to use MCPs, skills, and goals. So basically - we are looking for structured AI-assisted work, not vibe coding, vibe designing or vibe testing.
Combines initiative with honesty
Strong candidates have a can-do mindset and will investigate, experiment and learn when the answer is not obvious. At the same time, they are fair and transparent about what they know, what they have not done before and when they need support.
Looking to hire?
Give us a few details about the role and your hiring plans. We'll assess your needs and get back to you with a practical next step.
Frequently Asked Questions
Yes. Our Node.js recruitment experience includes both NestJS and Express, with TypeScript and JavaScript.
Yes. We can assess queue design, retries, idempotency, scheduling, failure handling and observability. Relevant briefs have included BullMQ and Temporal alongside API and microservice work.
Yes. We test data modelling, query behaviour, transactions, performance and whether an abstraction suits the system. Relevant experience includes Prisma, TypeORM and Mongoose across relational and MongoDB-based applications.