Node.js development for the services behind your applications.
Records flow between CRM, accounting, and operational systems through APIs, integrations, and scheduled jobs, with queues holding work until it completes. TypeScript runs from the React interface to the Node.js backend, so a small team can maintain it.
- InterfaceReact · Next.js
- MobileReact Native
- ServicesNode.js · TypeScript
- DataPostgreSQL · Python pipelines
- AIOpenAI · Anthropic · chosen per task
- CloudAWS · Azure · Google Cloud
What we build with it
Where Node.js fits.
APIs
The interfaces your screens, your partners, and your other systems call, with authentication and audit.
Integrations
Flows that move records between CRM, accounting, and operational systems, with exceptions visible.
Workflows and scheduled jobs
Approvals, notifications, syncs, and reports that run without a person.
Real-time and event-driven features
Status updates, queues, and webhooks that react as things happen.
Use cases
Applications we build with Node.js.
Order and inventory sync
Services that keep orders, stock levels, and product data in agreement between an ERP, a warehouse system, and online storefronts.
Notification and messaging services
Email, text, and in-app notifications triggered by events in business systems, with templates, preferences, and a record of what was sent.
Billing and invoicing connections
Services that create invoices, record payments, and post entries to accounting software as orders and jobs move through operational systems.
Single sign-on and user management
Sign-in through Microsoft, Google, or another identity provider, with roles and permissions enforced consistently across every screen and API.
Document generation services
Quotes, contracts, statements, and packing slips generated from templates and live records, stored with the record, and sent for signature where needed.
Backends for mobile apps
The APIs, sync endpoints, and push notifications behind React Native apps, shared with the web application so records stay consistent.
We choose it when
- The interface is React, so one language and one type system cover the whole application.
- The work is integration-heavy: many APIs, many records in flight, many exceptions to handle.
- The team should stay small and the system should be readable by one engineer end to end.
We reach for something else when
- Heavy numerical or data-science work: Python fits better, and the two run side by side.
- A client platform standardized on another runtime: we build to the standard.
- A vendor product already does the job: configure it rather than build a service.
How we use it
We write TypeScript on Node.js, organize services around the records they own, use PostgreSQL underneath and queues for work that must not be lost, test the logic, and monitor every service. Releases go through a pipeline with rollback.
What it means for you
- An open-source runtime with no license fees and one of the largest hiring pools in software.
- One language across the stack, so a smaller team can maintain it after handover.
- Runbooks and monitoring are part of every release.
Engineering practice
How we build with Node.js.
Input validation at every boundary
Every request and incoming file is checked against a typed schema before it reaches business logic, so bad data is rejected with a clear reason.
Dependency review and patching
Packages from npm are scanned for known vulnerabilities on every build, and updates are reviewed and applied on a regular schedule with tests.
Retries without duplicates
Queued work can run twice without creating duplicate records, and failed calls to outside systems retry before landing in an exception queue.
Structured logs and tracing
Every request carries an identifier through logs and services, so a failed order or sync can be traced from start to finish.
Load testing before launch
Key endpoints and background jobs are tested under realistic volume before release, so bottlenecks in queries or integrations show up early.
Questions
Questions about Node.js.
What business and technology leaders ask us about it.
Why Node.js rather than another backend?
For applications with a React interface and integration-heavy logic, one language across the stack keeps the team small and the system coherent. Where a client standard names another runtime, we build to the standard.
Can it handle our volume?
For the operational applications and products we build, yes, with queues for work that must not be lost and managed services underneath. Where a workload is unusual, the assessment says so.
Does it work with Python?
Yes. Data pipelines and model work often run in Python beside Node.js services; each does what it is good at.
Who can maintain it after you?
Any team that knows TypeScript, which is most teams. The handover includes the conventions, the runbooks, and the monitoring.
Is Node.js a good choice for enterprise applications?
Yes, for APIs, integrations, and workflow services. Node.js is used widely by large organizations, runs on every major cloud, and has long-term support releases maintained on a published schedule. For heavy numerical work we pair it with Python, and where a company has standardized on another runtime, we build to that standard.
How do you keep a Node.js application up to date?
Applications run on a long-term support release of Node.js, and the move to the next one is planned before support ends. Package updates are reviewed on a regular schedule, security patches are applied as they are published, and the test suite runs on every change, so upgrades are routine rather than risky.
How do you keep a Node.js backend secure?
Every request is authenticated and checked against a role, inputs are validated before they reach business logic, secrets live in a managed store rather than in code, and packages are scanned for known vulnerabilities on each build. Access to production is limited by role, and security-relevant actions are written to an audit log.
Scope a backend or integration.
Tell us about the application and the systems around it.We’ll come back with what we would build first, and which tools we would use.