Softment
BackendAPIs, real-time apps, microservices

Technology

Node.js

Build reliable APIs and backend systems with Node.js—clean architecture, background jobs, queues, and observability designed for real production load.

Best For

Ideal use cases

Teams already using JavaScript on frontend

Applications requiring real-time features

Projects needing fast development

Microservices architecture

Applications with high I/O operations

What We Build

Projects we deliver

RESTful and GraphQL APIs

Real-time chat and collaboration services

WebSocket servers

Microservices architectures

Serverless functions

Data processing pipelines

Authentication and authorization services

Payment processing backends

Ecosystem

Compatible tools & integrations

Seamless Integrations

Works with your existing stack

7+ supported
Express or Fastify for web framework
PostgreSQL or MongoDB for database
Redis for caching and sessions
Socket.io for real-time features
JWT for authentication
Stripe or PayPal for payments
AWS SDK or GCP SDK for cloud services

Use Cases

Recommended use cases

Startup MVPs needing rapid backend development

Real-time applications like chat or gaming

APIs for mobile or web applications

Microservices in larger systems

Applications processing large amounts of I/O

Delivery

How we deliver

We structure Node.js apps with modular architecture and clear separation of concerns

Use TypeScript for type safety and better code quality

Implement proper error handling and logging

Set up environment variables and configuration management

Add input validation and security best practices

FAQ

Frequently asked questions

Node.js is ideal when you're already using JavaScript on the frontend, need real-time features, or want fast development. Python is better for data science, Java for enterprise systems requiring strict typing.

Yes. We use TypeScript for Node.js projects to catch errors early, improve code maintainability, and provide better IDE support. We set up proper types for request/response and database models.

We use connection pooling with database clients like pg (PostgreSQL) or mongoose (MongoDB). We implement proper connection management, error handling, and query optimization.

Regional

Delivery considerations for your region

Data and risk discovery (Australia)

Privacy, security, residency, and regulatory requirements differ by workflow. We document the applicable data flows, roles, retention needs, and control owners before recommending an architecture.

The resulting proposal lists the controls and evidence that are actually in scope. It is not a generic compliance, certification, or legal-assurance promise.

  • Map data sources, destinations, roles, and sensitive fields
  • Record access, retention, logging, and deletion requirements
  • Identify required security or procurement evidence before contracting
  • Use an NDA or DPA only when the parties mutually execute it

Working model (Australia)

Exact live-overlap hours, response expectations, meeting windows, and escalation contacts are confirmed in the proposal for each engagement.

Written decisions, scoped milestones, and asynchronous updates reduce unnecessary meetings without implying an unagreed service level.

  • Proposal-specific overlap and meeting windows
  • Named owners for decisions and blockers
  • Written scope, assumptions, and change decisions
  • Milestone cadence agreed before kickoff

Commercial setup (Australia)

The contracting entity, proposal currency, invoicing cadence, payment terms, intellectual-property terms, and required vendor documents are agreed before work begins.

The Opportunity Sprint can establish the evidence needed to scope a production pilot; it does not pre-commit either party to a rollout.

  • Contracting entity and currency confirmed in writing
  • Milestones and acceptance criteria defined in the proposal
  • Vendor-document requirements identified before signature
  • Scope changes require an explicit written decision

Delivery controls (Australia)

Testing, observability, release, security, and handover controls are selected for the actual system risk rather than promised as a generic bundle.

Acceptance measures and production responsibilities are recorded before implementation so both teams know what evidence will support release.

  • Risk-based testing and acceptance measures
  • Release, rollback, and observability responsibilities
  • Security controls tied to the agreed threat model
  • Handover artifacts defined in the signed scope
Ready to start?

Want to scope this properly?

Need a Node.js backend plan? Share your endpoints and integrations and we’ll outline milestones. AUD-based engagements.

We’ll review the context and reply with a practical next step.