
Backend Development
Scalable, secure, and high-performance APIs, microservices, and data pipelines. Built with Node.js, Python, and Go — deployed on cloud infrastructure that grows with your product.

Backend capabilities that scale
From API design to database optimisation, caching strategies, and cloud deployment — we cover every layer of the server stack.
REST & GraphQL APIs
Well-documented, versioned RESTful APIs and GraphQL schemas with input validation, rate limiting, pagination, and auto-generated OpenAPI/Swagger specs.
Microservices Architecture
Domain-driven service decomposition with event-driven communication via Kafka or RabbitMQ. Each service independently deployable, testable, and scalable.
Database Design & Optimisation
Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB) schema design, query optimisation, indexing strategies, and migration management.
Security-First Development
OWASP Top 10 mitigations, JWT/OAuth2 authentication, input sanitisation, SQL injection prevention, secrets management with Vault, and dependency scanning.
Caching & Performance
Multi-layer caching with Redis, CDN strategies, connection pooling, async job queues (BullMQ, Celery), and profiling to eliminate bottlenecks.
Cloud-Native Deployment
Containerised deployments on AWS ECS/EKS, Google Cloud Run, or Azure AKS. Terraform IaC, auto-scaling, health checks, and zero-downtime deployments.
CI/CD Pipelines
GitHub Actions / GitLab CI pipelines with automated unit tests, integration tests, static analysis, container builds, and staging/production promotion gates.
Observability & Monitoring
Structured logging (JSON), distributed tracing (OpenTelemetry), metrics (Prometheus/Grafana), error tracking (Sentry), and on-call alerting via PagerDuty.

Engineered for reliability and speed
Our backend engineers design systems that handle real-world load — with careful attention to connection pooling, query performance, cache invalidation, and async job processing to keep median API response times under 50ms.
Security is non-negotiable. Every service is hardened against OWASP Top 10 vulnerabilities, uses short-lived JWT tokens, enforces rate limits, and integrates secrets management from day one.
We containerise all services with Docker, define infrastructure as code with Terraform, and ship fully automated CI/CD pipelines so you can deploy with confidence on any cadence.
Common use cases
High-Traffic API Platforms
Stateless APIs behind load balancers, horizontal auto-scaling, connection pooling, and CDN caching — built to handle millions of requests per day.
Real-Time Data Pipelines
Event-driven architectures with Kafka or RabbitMQ for streaming data ingestion, transformation, and delivery to downstream consumers.
Multi-Tenant SaaS Back-ends
Tenant isolation, subscription billing hooks (Stripe), feature flags, audit logging, and GDPR-compliant data handling across tenant schemas.
Legacy System Modernisation
Strangler-fig pattern modernisation of monoliths to microservices, with API gateways providing backward compatibility during the transition.


Technology stack
We pick the right tool for the job — proven runtimes, ORMs, message brokers, and cloud primitives.
Ready to build a solid backend?
Tell us about your project and we'll propose the right architecture, stack, and timeline to get you to production.
