Node.js development services from senior back-end teams
Dedicated Node.js teams that build TypeScript APIs, event-driven services and real-time back ends, and keep them fast under load, on US business hours.
By the Ryz Labs team · Updated October 2026
Ryz Labs is a Node.js development company that gives you a dedicated team of senior back-end engineers to build and run TypeScript APIs, event-driven services, real-time features and integrations, in your repos and your cloud. Every engineer is in the top 1% of the tens of thousands we have interviewed, and the team works on US business hours, including New York hours, with same-day code review.
What we build
Node.js is at its best for I/O-heavy services: lots of concurrent requests, lots of calls to databases, queues and third-party APIs. That is where our Node.js teams spend their time.
- REST and GraphQL APIs: NestJS or Fastify services with OpenAPI or GraphQL schemas, versioning, rate limiting and typed clients your front-end teams can generate.
- Backends-for-frontends: a thin Node.js layer that aggregates several internal services into exactly what a web or mobile screen needs, with caching and fallbacks.
- Event-driven services and workers: consumers on Kafka, SQS or RabbitMQ, BullMQ job queues on Redis, and idempotent handlers that survive retries and duplicate messages.
- Real-time features: WebSocket and Server-Sent Events services for live dashboards, chat, notifications and collaborative editing, scaled across instances with Redis pub/sub.
- Third-party integrations: payments, CRM, identity and messaging providers wired in with webhook verification, retries with backoff and reconciliation jobs.
- Serverless back ends: AWS Lambda or Azure Functions with API Gateway, Step Functions or Durable Functions, sized so cold starts and connection limits don't surprise you.
- LLM-backed endpoints: Node.js services that call OpenAI or Anthropic models, stream responses to the browser and log prompts and outputs for evaluation. For larger AI systems, see our AI development services.
- Monolith decomposition and upgrades: moving an Express monolith from JavaScript to TypeScript, from an end-of-life Node.js version to a current LTS release, or into separately deployable services where that actually helps.
How an engagement works
- Talk. A scoping call with your engineering lead about the service, its traffic, its dependencies and what success looks like (latency, throughput, a launch, a migration finished).
- Match. We propose a team scoped to your stack, such as Node.js and TypeScript seniors plus a DevOps or data engineer if needed. You get a plan, a price and the names of the people.
- Join. The team starts in your repos, CI pipelines, cloud accounts and standups, with weekly demos of working endpoints.
- Grow. Add engineers or disciplines as scope grows, or hand the services over to your team with runbooks and dashboards.
Week 1 covers access, a local environment that matches production, and a read of your current tracing and error data so we know where the slow and fragile paths are. Month 1 typically brings agreed API contracts, a service template (logging, config, health checks, tests) and the first endpoints in production. By month 3, the team is shipping on your release cadence, load tests run before major launches, and on-call ownership is clear.
The stack our teams work in
| Layer | Tools we use | Notes |
|---|
| Runtime and language | Node.js LTS releases, TypeScript (strict), Bun or Deno where already in use | We plan upgrades around the Node.js LTS schedule |
| Frameworks | NestJS, Fastify, Express, Hono, Apollo Server | NestJS for large teams; Fastify when raw throughput matters |
| Data access | PostgreSQL, MySQL, MongoDB, Redis; Prisma, Drizzle, TypeORM, Knex | Migrations versioned and reviewed like code |
| Messaging and jobs | Kafka (KafkaJS), Amazon SQS/SNS, RabbitMQ, BullMQ | Idempotency keys and dead-letter queues by default |
| Validation and contracts | Zod, class-validator, OpenAPI, GraphQL Code Generator | Contracts shared with front-end teams |
| Testing | Vitest, Jest, Supertest, Testcontainers, Pact, k6 | Integration tests against real Postgres and Redis containers |
| Cloud and observability | AWS (ECS, Lambda), Azure, Docker, Kubernetes, OpenTelemetry, pino, Datadog, Sentry | Traces across every service hop |
How we keep Node.js services fast and stable
Node.js runs your JavaScript on a single event loop. That makes it efficient for I/O and unforgiving of certain mistakes. These are the failure modes we see most in production Node.js systems, and how a senior team prevents them:
- Blocking the event loop. A synchronous JSON parse of a large payload, a CPU-heavy hash or a regex with catastrophic backtracking stalls every request on that process. We monitor event-loop lag, move CPU work to worker threads or separate services, and review regexes and large-payload handling.
- Memory leaks. Unbounded in-memory caches, listeners that are never removed and closures holding request objects slowly grow the heap until the container restarts. We take heap snapshots under load, use bounded LRU caches, and alert on heap growth per release.
- Unhandled promise rejections. A missing await or a floating promise can crash a process or swallow an error. Strict TypeScript, the no-floating-promises lint rule and process-level handlers that log and exit cleanly close that gap.
- Connection pool exhaustion. Serverless functions and autoscaled containers can open more database connections than Postgres allows. We size pools per instance, use RDS Proxy or PgBouncer where needed, and set timeouts on every outbound call.
- Retry storms and duplicate work. Queues deliver at least once, and webhooks get resent. Handlers use idempotency keys, retries use exponential backoff with jitter, and poison messages go to a dead-letter queue instead of looping.
- npm supply-chain risk. A Node.js service can pull in hundreds of transitive packages. We pin with lockfiles, run npm audit or Snyk in CI, review new dependencies, and keep Dependabot or Renovate updates small and frequent.
- Graceful shutdown. Deploys that kill processes mid-request drop work. Services handle SIGTERM, stop accepting traffic, finish in-flight requests and close pools before exiting.
- Blind spots between services. OpenTelemetry traces with correlation IDs follow a request across the API, the queue and the worker, so a slow checkout can be traced to the exact call that caused it.
Team shapes and cost
Typical Ryz pricing is $7,000 to $15,000 per engineer per month. Mid-level engineers (comparable to Amazon L5) cost $7,000 to $10,000; seniors (comparable to Amazon L6) cost $10,000 to $15,000; leads start at $15,000 and are quoted per team. Monthly cost is headcount times rate. Project cost is team size times duration times monthly rate.
- Service team (one new API or an LTS upgrade): 2 senior Node.js engineers. 2 × $10,000–$15,000 = $20,000–$30,000 per month.
- Platform team (several services plus messaging): 1 tech lead, 3 senior Node.js engineers. $15,000+ for the lead plus 3 × $10,000–$15,000 = from about $45,000–$60,000 per month.
- Full-stack product team: 1 lead, 2 senior Node.js engineers, 2 senior React engineers and 1 DevOps engineer, quoted per team after scoping.
Quotes are scoped per team, and you get a plan, a price and the names of the people before you start.
Dedicated team or staff augmentation?
A dedicated development team fits when you want a back-end outcome owned end to end: a new service, a platform rebuild, a migration off an old Node.js version. The team plans the work, demos it weekly and works with your product and front-end engineers.
Staff augmentation fits when your back-end lead owns the architecture and needs more senior capacity. Then you hire Node.js developers who work on your team, pick up tickets from your backlog and follow your conventions.
When Ryz isn't the right fit
If you need a quick script or a short hourly gig, a self-serve freelance marketplace is cheaper and faster to start. If your services need engineers covering European or Asian time zones, or around-the-clock follow-the-sun support, a global network is a better match. And if you are looking for a packaged backend platform rather than people who build one, we are not that vendor.
Related
FAQ
How much do Node.js development services cost?
Ryz engineers typically cost $7,000 to $15,000 per engineer per month: $7,000 to $10,000 for mid-level, $10,000 to $15,000 for senior, and $15,000 and up for leads, quoted per team. Two senior Node.js engineers are $20,000 to $30,000 per month. You get a scoped plan, a price and the names of the people before any work starts.
How fast can a Node.js team start?
After the scoping call we propose a team with named engineers. Most of the timeline depends on scope and your onboarding: access to repos and cloud accounts, security reviews and environment setup. We won't promise a start date until we have seen those.
Should we use NestJS, Fastify or Express?
For a large codebase with many contributors, NestJS gives you modules, dependency injection and consistent structure. For high-throughput services where you want less framework, Fastify is faster than Express and has schema-based validation built in. Express is fine for existing services; we usually keep it and add structure rather than rewriting.
Is Node.js the right choice for CPU-heavy work?
Usually not as the main engine. Image processing, heavy data transforms and model inference are better in worker threads, a separate service in Go or Python, or a managed service. Our teams will say so in scoping; see Python development services for data-heavy back ends.
Can you take over an existing Node.js codebase?
Yes. The first weeks focus on reading the code, the traces and the incident history, adding tests around the riskiest paths, and fixing the issues that cause pages before starting larger changes.
Questions we didn't answer? Email info@ryzlabs.com.