Backend development services for systems that must not fail

What we build on the backend

We design and build the server-side systems behind web and mobile products, internal platforms and data flows between companies.

• Public and partner APIs, REST or GraphQL, with versioning and documentation
• Domain services and modular monoliths with clear boundaries
• Microservices where independent scaling or deployment is justified
• Event-driven systems with Kafka or RabbitMQ
• Integrations with ERPs, CRMs, payment providers and legacy systems

Contract-first API design

We design APIs before implementing them. An OpenAPI or GraphQL schema is agreed with the teams that will consume it, reviewed like code and used to generate clients, mocks and contract tests. Front-end and mobile work can then start in parallel instead of waiting for the backend.

Good APIs are boring to consume: consistent naming, predictable pagination and error formats, idempotent operations where retries are possible, and a versioning policy that does not break existing clients.

Java, Spring Boot and Node.js

For systems with complex business rules, high throughput or long expected lifetimes, we typically use Java with Spring Boot: a mature ecosystem, excellent tooling and strong performance on modern JVMs. For I/O-heavy services, backend-for-frontend layers and teams working in TypeScript end to end, Node.js is often the better fit.

Whatever the language, the principles are the same: explicit domain boundaries, transactional consistency where it matters, integration tests against real databases and brokers using Testcontainers, and code that a new engineer can follow.

Microservices and event-driven architecture, used deliberately

Microservices solve organizational and scaling problems, but they add network failures, distributed data and operational overhead. We start with a modular design and extract services only when the benefit is clear, so you do not pay the cost of distribution before you need it.

When asynchronous messaging is the right tool, we design topics and events as carefully as APIs, use the outbox pattern to avoid lost or duplicated messages, and build consumers that are idempotent and safe to replay. Timeouts, retries with backoff and circuit breakers keep one slow dependency from taking down the whole system.

System integration without fragile glue

Integrations are where many systems quietly break. We wrap external systems behind anti-corruption layers so their quirks do not leak into your domain, validate every inbound message, and make failed exchanges visible and retryable instead of silently lost.

Every service ships with structured logs, metrics and distributed traces, plus SLOs that define what healthy means. Deployment, scaling and monitoring are handled with our cloud and DevOps practice, and you receive the API specifications, runbooks and architecture documentation at handover.