Core Development

Backend Development

The logic, data flows and integrations that power your product. We design backends that are secure, observable and straightforward to change as your business grows.

Discuss your project How we work
billing/tasks.py
# Retry transient failures without double-charging
@shared_task(bind=True, max_retries=5,
             autoretry_for=(ConnectionError,),
             retry_backoff=True)
def sync_invoice(self, invoice_id):
    invoice = Invoice.objects.get(pk=invoice_id)
    accounting.push(
        invoice,
        idempotency_key=str(invoice.uuid),
    )

01 · Overview

Backends that scale with the business, not against it

Many product problems are backend problems in disguise: slow pages from inefficient queries, failed payments from brittle integrations, outages from jobs nobody monitors. We design application architecture around your domain, with clear boundaries, explicit data flows and failure handling built in.

We work mainly in Python with Django and in Node.js, backed by PostgreSQL and Redis. We favour a well-structured monolith until there is a real reason to split services, and we add tests, logging and metrics from the first sprint.

Focus areas

  • Application architecture
  • Business logic
  • Background processing
  • Third-party integrations

Technologies

  • Python and Django
  • Node.js and Express
  • PostgreSQL
  • Redis
  • Celery and task queues
  • Firebase and Supabase

02 · Capabilities

What we deliver

The server-side engineering behind reliable web and mobile products.

Application architecture

Clear module boundaries, domain models and service layers that keep business rules in one place.

APIs for every client

REST, and where it fits GraphQL or WebSockets, for web, mobile and partner integrations.

Authentication and authorisation

Sessions, JWT and OAuth 2.0, with role- and object-level permissions enforced on the server.

Background jobs

Task queues for emails, reports, imports and integrations, with retries, idempotency and monitoring.

Integrations

Payment providers such as Paystack and Stripe, CRMs, ERPs and legacy systems connected through resilient adapters.

Reliability and observability

Structured logging, metrics, health checks and error tracking so issues are found and fixed quickly.

03 · Approach

Designed before it is built

Architecture and data design come first, then iterative delivery with automated tests and live API documentation.

  1. 01

    Discovery and architecture

    We map requirements, data flows and scale expectations before choosing a stack.

    • Requirements mapping
    • Data flow diagrams
    • Scalability planning
    • Stack selection
  2. 02

    Data and API design

    Models, contracts and permissions are designed and reviewed with you.

    • Entity relationship models
    • API contracts
    • Auth and permissions
    • Caching strategy
  3. 03

    Build and integrate

    Iterative development with tests and continuous integration from day one.

    • Iterative development
    • Unit and integration tests
    • CI pipeline
    • Live API documentation
  4. 04

    Test and release

    Load and security testing, staging sign-off and a zero-downtime release.

    • Load testing
    • Security review
    • Staging sign-off
    • Zero-downtime release

04 · Technical considerations

The details that decide success

Backend quality is decided in details that users never see but always feel.

Consistency and transactions
We decide where strong consistency is required and use database transactions and constraints to enforce it.
Idempotency
Operations that can be retried, such as payments and webhooks, are designed so duplicates never cause double processing.
Concurrency and queues
Long-running work moves to background workers so response times stay predictable under load.
A measured scaling path
Caching, read replicas and horizontal scaling are planned, but introduced only when measurements show they are needed.
Security
Input validation, parameterised queries, rate limiting and secret management follow OWASP guidance.
Operability
Environment-based configuration, health endpoints and runbooks make the system simple to deploy and support.

05 · Outcomes

What you can expect

  • Business rules in one well-tested place
  • Integrations that recover from failures
  • Predictable performance as usage grows
  • Clear documentation for the next engineer

06 · FAQ

Backend Development: common questions

Ask us something else
Which backend technologies do you use?

Mainly Python with Django, and Node.js for real-time and I/O-heavy services, with PostgreSQL and Redis. We also use managed platforms such as Firebase or Supabase when they suit the project. We align choices with your team's skills and long-term plans.

How long does backend development take?

A standard application backend with authentication typically takes three to five weeks for a first version. Systems with complex integrations, real-time features or heavy data processing usually take six to twelve weeks.

Do you build real-time features?

Yes, using WebSockets through Django Channels or Socket.IO, or managed services such as Firebase and Supabase Realtime, for chat, live dashboards, collaboration and notifications.

How do you keep a backend secure?

We follow OWASP guidance: strong authentication, server-side authorisation, input validation, parameterised queries, rate limiting, encrypted connections and regular dependency updates.

Can you integrate with our existing systems?

Yes. We connect to payment gateways, CRMs, ERPs, legacy databases and internal tools through REST, GraphQL, webhooks or direct database access, with retries and reconciliation where data must stay in sync.

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RESTful API Development

Well-designed, documented and versioned REST APIs for web, mobile and partner integrations.

Need a backend you can rely on?

Whether you are starting fresh or untangling an existing system, we will help you design a backend that fits your product and your team.

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