Services
Backend & API engineering
The backend is the part users never see and never think about, until it fails. We design backend systems and APIs that stay correct under load, integrate cleanly with the tools around them, and don't require a rewrite the moment your business grows.
The Problem
Business problems this addresses.
- Your product's backend struggles under real traffic or data volume.
- You need an API to connect your product with partners, vendors, or internal tools.
- Multiple frontends (web, mobile, internal tools) need one reliable backend to share.
- Your current backend architecture has become difficult to change safely.
Capabilities
What this covers.
- API design and development (REST, GraphQL)
- Backend architecture for Django, FastAPI, and Node
- Database design and query performance
- Authentication, authorization, and API security
- Third-party and payment integrations
- Background jobs, queues, and scheduled processing
Who It’s For
Is this the right fit?
- Product teams whose backend needs to support web, mobile, and partner integrations from one source of truth
- Businesses connecting internal systems that currently don't talk to each other
- Companies whose backend has outgrown its original design
How We Work
A typical engagement.
We start by mapping the data your systems need to share and where reliability matters most, then design a backend and API layer around those requirements, with security and scaling considered from the first architecture decision rather than added later.
Discover
Understand the business, users, constraints and desired outcome.
Define
Clarify scope, features, architecture, timeline and success criteria.
Design
Map journeys and create the product experience.
Build
Develop in milestones with continuous testing and client visibility.
Launch
Deploy safely and prepare for real-world usage.
Improve
Maintain, measure, optimize and build the next iteration.
Why CharisForge
Business first. Engineering done properly.
Understand before building.
We start with the business problem, not the framework. Scope and architecture follow from understanding, not the other way around.
Build for real users.
Software is judged outside the demo: on slow networks, with real data, by people who didn't read a manual.
Primarily Python (Django and FastAPI) and Node.js, backed by PostgreSQL and Redis, with REST or GraphQL APIs designed for the systems that need to consume them.
Relevant Work
Software built with this in mind.
NuvveTech Marketplace
Backend engineering for a production e-commerce marketplace serving live customers across multiple regions.
Diba Fintech Platform
Backend engineering for Diba's production fintech platform, covering wallet transactions, payment processing and real-time customer support.
10Billion NGO Platform
Backend API powering a nonprofit platform for campaigns, events and donations.
Shoplit E-commerce API
A fully featured e-commerce backend covering product listings, carts, orders, payments, notifications and API documentation.
FAQs
Common questions.
What backend technologies do you specialize in?+
Primarily Python (Django and FastAPI) and Node.js, backed by PostgreSQL and Redis. We choose the stack based on the problem, including team familiarity, expected load, and the surrounding ecosystem, rather than a default.
Can you build an API on top of our existing systems?+
Yes. A common project is building an API layer that sits in front of legacy systems, spreadsheets, or disconnected tools so newer applications can use that data safely without touching the original system directly.
How do you approach API security?+
Authentication, authorization, input validation, and rate limiting are part of the initial design, not a later pass. We also document APIs clearly so your team, or ours, can maintain them confidently over time.
Related Reading
From the blog.
API Versioning, Before It's a Problem
A plain explanation of why breaking an API is expensive, the common ways to version one, and when a small team should actually bother.
What Code Review Is Actually For
Code review isn't about catching typos or enforcing style. It's a second, independent check on whether the code handles the situations the author didn't think about.
Have something worth building?
Tell us what you're working on. We'll help you determine the right way to build it.
