Robust APIs, server architecture, and integrations engineered to scale. We design backend systems that are fast, observable, and easy to maintain — the kind your future engineers will thank you for.
What We Build
The backend capabilities we ship with every project
Scalable APIs
REST, GraphQL, and gRPC APIs designed with versioning, pagination, and rate limiting from day one.
Auth & Identity
Battle-tested authentication patterns — OAuth, JWT, session, SSO — implemented with security best practices.
Background Jobs
Reliable job queues and scheduled work for emails, reports, integrations, and any long-running task.
Observability
Structured logging, metrics, and tracing so production behaviour is never a black box.
Hardened Security
Input validation, rate limiting, secret management, and defence against the OWASP Top 10 baked in.
Performance Tuning
Caching layers, indexed queries, and load testing so endpoints stay fast as your user base grows.
Our Backend Process
How we move from a vague backend need to a system you can rely on
Requirements & Constraints
We map domain entities, traffic patterns, integrations, and non-functional requirements like SLAs and compliance.
System Architecture
We propose an architecture that fits your scale today and tomorrow — monolith, modular, or service-oriented as appropriate.
API & Data Design
Contract-first API design and schema modelling, so frontend and integration teams can start in parallel.
Implementation
Iterative build with code review, automated tests, and continuous integration on every change.
Testing & Hardening
Unit, integration, and load tests, plus a security pass before anything goes live.
Deployment & Observability
Production rollout with monitoring, alerting, and runbooks so on-call has the context they need.
Backend Stack
We choose technologies that fit the team, the workload, and the long-term plan
Languages
- Node.js
- TypeScript
- Python
- PHP
- Go
- Java
Frameworks
- Express
- Nest.js
- Laravel
- Django
- FastAPI
- Spring Boot
Data & Messaging
- PostgreSQL
- MySQL
- MongoDB
- Redis
- RabbitMQ
- Kafka
Infrastructure
- Docker
- Kubernetes
- AWS
- Azure
- GitHub Actions
- Terraform
Frequently Asked Questions
REST or GraphQL — which should we use?
REST is the simpler default for most CRUD-style APIs. GraphQL shines when you have many clients with different data needs, or a deeply nested data graph. We weigh team familiarity, tooling, and caching strategy before recommending one.
Microservices or a single backend?
Most early-stage products are better served by a well-structured monolith than by a microservice mesh. We introduce service boundaries only where they unlock independent scaling, separate domains, or team ownership.
How do you handle authentication and authorisation?
We use proven patterns — OAuth 2.0, OpenID Connect, JWT, or session-based auth — and pair them with role-based or attribute-based access control depending on your needs. Secrets stay in vaults, not in code.
Can you integrate with our existing systems?
Yes. We regularly connect to payment gateways, CRMs, ERPs, identity providers, and legacy databases. We document every integration so future engineers are not flying blind.
How do you make sure the API stays fast?
Database indexes, query review, caching layers (Redis, CDN), and load testing before launch. After launch, observability tells us where to spend optimisation effort instead of guessing.
Whether you are starting fresh or rescuing a system that has outgrown its origins, we can help. Let's talk through the constraints together.
No commitment required — let's discuss your architecture