Backend Development
APIs, data pipelines, and event systems built to run without surprises
We build backend systems in Java, Go, Node.js, and Python where correctness and reliability come before speed of delivery. You get documented API contracts, full observability, and database migrations you can run during business hours — not maintenance windows.
What we build
The backend is where your business rules live. A poorly designed backend means data inconsistencies, outages during deployments, and features that take weeks instead of days to ship. We build APIs, event pipelines, and data services that your team can operate with confidence. Real examples: a payments ledger reconciling across a dozen payment providers with idempotent settlement APIs, a logistics platform processing hundreds of jobs per second, and a multi-tenant data service whose security rules are verified automatically on every code change. We choose the right language for the job — Java for large enterprise systems, Go for high-throughput services, Node.js when your team already works in TypeScript, and Python for data-heavy domains. The principle: every system has a documented contract, visible behaviour in production, and a safe path for schema changes.
Capabilities
- REST and gRPC APIs — documented contracts with generated client libraries so your web and mobile teams always have an accurate, up-to-date integration reference.
- Event-driven systems — reliable message delivery between services using Kafka, NATS, or cloud queues, with patterns that prevent data loss even when a service is temporarily unavailable.
- Database design and migrations — schema changes that apply without locking your database or taking the application offline, with rollback steps documented per change.
- Domain modelling — software structured around your business concepts, not framework defaults, so adding features does not require understanding the whole codebase.
- Observability — every service emits structured logs, distributed traces, and metrics so when something goes wrong at 2am, the dashboard tells you where.
- Authentication integration — secure service-to-service communication and user authentication wired into your existing identity provider or built from scratch.
- Background processing — reliable job queues for emails, reports, and long-running tasks, with automatic retries and dead-letter handling for failed work.
- Performance — load tested against agreed response-time targets, with slow database queries identified and optimised before they reach production.
Stack
- Languages: Java, Go, TypeScript with Node.js, Python, Kotlin
- Frameworks: Spring Boot, NestJS, Fastify, FastAPI, Django, Echo, Fiber
- Data stores: PostgreSQL, MySQL, MongoDB, DynamoDB, Redis
- Messaging: Kafka, Redpanda, NATS, AWS SNS/SQS
- Tooling: Temporal for long-running workflows, Flyway/Liquibase for migrations, Protocol Buffers for typed contracts
- Testing: Integration tests against real databases in CI, contract testing between services, load testing against agreed SLOs