Fast, scalable backends built to run in production.
We are a Node.js development company that builds the backends enterprises depend on: high-throughput REST and GraphQL APIs, real-time and event-driven systems, and microservices.
It’s all modern TypeScript, engineered to stay fast under real load. Fixed scope, one accountable lead, and a costed path to production in 4–8 weeks.
Because Node.js is forgiving to start and unforgiving at scale. A single blocking call, an unbounded query, a leak in the event loop — none of it shows in the demo, and all of it surfaces the night traffic triples.
The runtime that let you ship in a week is the same one that stalls every request behind one slow handler if nobody engineered for concurrency.
The language is rarely the problem. Node.js is the most-used web technology among developers, used by 40.8% of all respondents to the 2024 Stack Overflow Developer Survey, so the ecosystem and the talent pool are deep.
The problem is the engineering discipline around it: a backend architected for the load it will actually see, instrumented before it ships, and reviewed by someone who has run Node.js in production at scale. That discipline is what separates a backend that runs from one you babysit.
Node.js earns its place in a specific set of backend workloads — the I/O-heavy, concurrency-heavy, real-time ones it’s genuinely best at. For each, what it does, the benefit it produces, and how that plays out:
The backend that every client — web, mobile, partner — depends on, exposing your data and logic over clean, versioned, documented endpoints. Benefit — more concurrent requests served per server, at lower latency and lower infrastructure cost. Node.js’s non-blocking model handles thousands of simultaneous connections without a thread per request.
Example: when PayPal rebuilt an application on Node.js it served double the requests per second and responded 35% faster than the Java version it replaced — so a traffic spike that would have meant doubling servers is absorbed by the same fleet.
Live dashboards, chat, notifications, collaborative editing, presence — anything where the server pushes updates the instant they happen, over WebSockets or server-sent events. Benefit — instant updates and far lower overhead than polling. A persistent connection costs Node.js almost nothing to hold open, which is exactly what real-time workloads need.
Example: an operations dashboard that streams live order and inventory changes to a hundred store managers at once, instead of every browser re-polling the API every few seconds and hammering the database.
Decomposing a monolith into independently deployable services, each owning one capability, communicating over APIs and message queues. Benefit — independent deploys and faster, safer release cadence. Teams ship one service without redeploying the whole system.
Example: a payments team patches the checkout service on its own schedule while the catalog team ships in parallel — 63% of organizations that adopted microservices cite exactly this improvement in deployment speed and cadence (Gartner Peer Community, July 2023).
The Node.js services that wire LLMs, agents, and inference into your product — streaming completions, tool-calling, retrieval, and the orchestration around them. Benefit — production-grade AI features on the same stack your team already runs. Node.js streams tokens to the browser natively and handles the concurrent, long-lived calls AI workloads demand.
Example: a Node.js gateway that streams a model’s response to the user token-by-token while enforcing rate limits, auth, and cost controls — built on our LLM development services.
A thin Node.js layer that aggregates downstream services, shapes responses for each client, and centralizes auth, rate-limiting, and caching. Benefit — faster clients and a clean seam between frontend and backend teams. One round trip replaces six; mobile gets a lean payload, web gets a rich one.
Example: a mobile app that fetches a fully-composed home screen in a single call instead of orchestrating five chatty requests over a cellular connection.
Re-platforming a legacy backend — or consolidating a polyglot mess — onto a single, maintainable TypeScript stack, incrementally and without downtime. Benefit — lower maintenance cost and a stack your team can actually hire for.
Example: strangling a brittle legacy service one endpoint at a time behind a Node.js gateway, so the old system keeps serving traffic until the last route is migrated and nothing ever goes dark.
The scope below is the difference between a backend that holds under load and one that pages you at 3 a.m.
We design the service boundaries, data flow, and contract first — REST or GraphQL, monolith or services — sized for the load you’ll actually see. This is the part most teams skip and most regret; it’s also the part that’s hardest to retrofit.
Production APIs in TypeScript on the framework that fits — Express, Fastify, NestJS, or Hono for the edge — with type-safe schemas, versioning, auth, validation, and generated documentation. Protocol-level depth is its own discipline; see our API development service for the contract-and-governance layer.
WebSocket and server-sent-event services, message queues, and event pipelines — built so a persistent connection or a burst of events doesn’t starve the event loop.
Decomposition, inter-service communication, GraphQL federation across services, and the queue and caching layers that keep them fast and decoupled — deployed to your cloud, your container platform, your CI.
Profiling the event loop, killing blocking calls, tuning queries and connection pools, adding caching and horizontal scaling — turning a backend that buckles at peak into one that holds.
Incremental re-platforming onto Node.js and TypeScript, or consolidating a polyglot backend, without taking the live system down — the same approach behind our web application development work.
What you get when you hire us — all assigned to you under full work-for-hire IP transfer
The same delivery model behind all our AI and software development work, applied to backend builds — one accountable lead, fixed scope, no handoffs.
Pin down the workload, the traffic profile, the integrations, and the success metrics.
Output: a fixed scope, an architecture direction & a costed path to production
Design the service boundaries, API contracts, and data model for the load you’ll see, and choose the framework on your workload, not on fashion.
Output: an architecture & API spec your team signs off on
Develop in your own cloud and repository, with senior review on every step, tests and CI from the first commit, and observability wired in as we go.
Output: a working backend behind your access controls
Load-test against your real traffic profile, profile and tune, then ship behind a staged rollout with your team trained to operate it.
Output: a production backend & a team that owns it
Most engagements reach a steady production state in 4–8 weeks, with full work-for-hire IP assignment signed at kickoff.
A backend is only as good as the discipline that ships and maintains it — and that discipline is what we’re known for. Here is the honest, adjacent record we stand behind, with the production rigor that carries straight into a Node.js service under load:
The same process that holds a 200+ location restaurant business at twice-a-week releases with zero critical defects across four years — pre-release review, regression prevention, continuous production monitoring — is the one we bring to a Node.js service under real load (BJ’s Restaurants).
We have also built backend and transaction infrastructure at scale: the marketplace we built for YardClub processed $120M+ in transactions before its acquisition by Caterpillar, and the sports-technology platform we have run for Bridge Athletic since 2012 — now used by USC, the LA Rams, and MLB and MLS teams — has been carried through more than a decade of re-platforming and performance work without going offline. The stack and the era differ; the engineering judgment about backends that must not fall over is the same.
Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran — 20+ years of production engineering, personally accountable for every engagement. We’ll tell you plainly when Node.js is the wrong runtime for your workload — which a shop that only writes Node.js won’t.
Senior review on every step. No junior throwing code over a wall — the person accountable for the architecture reviews the work that ships against it. It’s why the BJ’s engagement has sustained zero critical defects for four years.
We pick the right tool, including “not Node.js.” Node.js is superb for I/O-bound and real-time work and a poor fit for CPU-bound number-crunching. We say so before you’ve spent a budget finding out.
Founder-led, one accountable lead. No account managers, no handoff chain — the person who scopes the build answers for it in production.
Built to transfer. Code, infrastructure, tests, and documentation are assigned to you under full work-for-hire IP; your team is trained to run and extend the backend when we step back.
An AI lab, not just a dev shop. We bring production AI engineering to the same backend — streaming, agents, retrieval — on the stack your team already operates.
Real-time decisioning, payments, and transaction APIs where latency and an audit trail both matter; the same transaction-infrastructure engineering behind the YardClub marketplace. Fintech software →
High-concurrency catalog, checkout, and order APIs that hold through a traffic peak, plus real-time inventory and pricing.
Multi-tenant APIs, backend-for-frontend layers, and the real-time features (presence, notifications, collaboration) that modern products are expected to have.
What teams want to know before they hire a Node.js development company.
For the right workload, yes — and it’s the most-used web technology among developers, at 40.8% in the 2024 Stack Overflow survey, so the ecosystem and hiring pool are deep. Node.js excels at I/O-bound and real-time work: high-concurrency APIs, streaming, event-driven systems. It’s a poor fit for CPU-heavy computation, where a compiled language wins. We scope the workload first and tell you honestly which side of that line you’re on.
We architect for the traffic profile up front, then prove it. That means designing service boundaries and data access for concurrency, profiling the event loop to kill blocking calls, tuning queries and connection pools, adding caching and horizontal scaling — and load-testing against your real traffic before launch, not after the first outage. Latency, error rate, and event-loop lag are instrumented from day one.
We work in modern TypeScript and pick the framework to fit: Express and NestJS for full-featured services, Fastify for raw throughput, Hono for the edge, Apollo Federation and Pothos for type-safe GraphQL. For real-time we use native WebSockets and SSE; for edge and modern runtimes we work across Cloudflare Workers, Bun, and Deno. The choice follows your workload and your team’s ability to maintain it, never a house default.
They overlap and we run them together. API development is the protocol-and-contract discipline — schema design, versioning, governance — across any stack. Web application development is the framework-agnostic full build, front to back. This page is the Node.js specialization: when the backend itself is being built in Node.js, this is the stack depth — event-loop tuning, real-time, the Node ecosystem — you’re hiring for.
The backend runs in your own cloud under your access controls, secrets stay in your secret manager, and integrations use scoped, least-privilege credentials. Every engagement starts with an NDA and a security review, dependencies are scanned for known vulnerabilities in CI, and we document every data path so your team verifies rather than trusts.
You do — completely. Source code, infrastructure-as-code, tests, and documentation transfer under full work-for-hire IP assignment signed at kickoff, and your team is trained to operate and extend the backend. Keep us on a reduced retainer or take the keys; the engagement is built around the handover.
Most Node.js backends reach a steady production state in 4–8 weeks under a fixed-scope engagement with one accountable lead. Cost depends on scope — our AI development cost guide gives real ranges — and we give you a costed path to production at the end of scoping, so the first invoice is a forecast you’ve already seen.
Thirty minutes · No pitch deck
Tell us what you’re building or scaling — we’ll scope the architecture, tell you honestly whether Node.js is the right runtime for it, and give you a costed path to production.