Backend

Backends that stay boring under load.

We design and operate the services your product depends on: clean domain boundaries, predictable latency, honest error budgets, and migrations that do not need a maintenance window.

Compose a team All disciplines

What we build

Inside APIs & Platforms.

Product APIs

REST, GraphQL and gRPC surfaces with versioning and contract tests.

Event-driven systems

Queues, outbox patterns, idempotency, and exactly-once-enough delivery.

Data modelling

Postgres schema design, indexing, partitioning, and zero-downtime migrations.

Integrations

Payments, KYC, ERP, CRM and legacy SOAP endpoints wrapped in sane interfaces.

Modernisation

Monolith decomposition with the strangler pattern — measured, not ideological.

The stack

Tools we actually use in production.

Languages

TypeScript / Node
Go
Python
Java / Kotlin
C#/.NET
Rust

Frameworks

NestJS
Fastify
FastAPI
Spring Boot
Django
Gin

Data

PostgreSQL
Redis
Kafka
ClickHouse
MongoDB
Elasticsearch

Contracts & ops

OpenAPI
GraphQL
gRPC
OpenTelemetry
Temporal
Pact

Comparison

Picking a backend runtime

Runtime choice matters less than boundaries — but it still shapes hiring, latency, and operational cost.

Option	Strength	Trade-off	Choose it when
Node / TypeScript	Shared language with the front end, huge ecosystem, fast delivery.	CPU-bound work needs care; runtime type safety must be enforced.	Product APIs and BFFs alongside a TypeScript front end.
Go	Low latency, tiny memory footprint, superb concurrency.	More boilerplate, leaner library ecosystem for business apps.	High-throughput services, gateways and infrastructure tooling.
Python	Unmatched data and ML ecosystem, very fast prototyping.	Slower runtime; packaging and typing discipline required.	Data-heavy services and anything adjacent to ML.
Java / .NET	Mature enterprise tooling, strong long-term stability.	Heavier runtime and slower iteration for small teams.	Regulated enterprises with existing JVM or .NET estates.

Advantages

Clear service contracts let front-end and mobile teams work in parallel.
Event-driven design absorbs traffic spikes without redesign.
Observability from day one turns incidents into ten-minute fixes.

Honest trade-offs

Distributed systems trade local simplicity for operational complexity.
Premature microservices cost more than they save — we start modular, split later.
Strong contracts require discipline the whole organisation must accept.

How we staff it