Signs you need this
- The API is slow under load and nobody knows why.
- Business logic lives in the frontend, the database and a cron job.
- Integrations with third-party services are fragile.
Overview
The backend is where correctness, performance and security live. It needs clear domain models, well-designed APIs, the right database for each workload and the observability to know what it is doing at 3 a.m.
We build backend services in Node.js, Python and Java with relational, NoSQL, cache and vector stores chosen per workload, plus the integration and messaging layers between them.
How this differs from Full Stack Engineering: Back End Engineering focuses on services, data layers and integrations; Full Stack adds the interfaces and delivers the whole product.
What we deliver
- API servicesREST and GraphQL services with versioning, validation and documentation.
- Domain & data modellingSchemas and business logic layers that match how the business works.
- High-throughput storagePostgreSQL, Cassandra, ScyllaDB, DynamoDB and TimescaleDB where each fits.
- Caching & performanceRedis and Memcached strategies for sub-100 ms paths.
- IntegrationsThird-party APIs, payment, KYC, e-signature and messaging services.
- Auth & securityOAuth/OIDC, session management, rate limiting and audit logging.
Where it fits
Decisioning servicesLow-latency scoring APIs backed by models and caches.
Event-sourced ledgersAppend-only stores for transactions and repayment events at scale.
Integration hubsOne backend fronting many third-party systems with consistent contracts.
Realtime backendsLocation streams, notifications and live dashboards.
Technology we use
Chosen per project. We are vendor-neutral and will recommend what fits your constraints.
Node.js (Express / NestJS)Python (FastAPI / Django / Flask)Java (Spring Boot)PostgreSQLMySQLMongoDBCassandraScyllaDBDynamoDBRedisMemcachedKafkaGraphQL
How we work
Domain modelling
Entities, workflows and invariants captured with your subject-matter experts.
API design
Contracts, error handling and auth agreed before implementation.
Build & test
Services with unit, contract and load tests.
Operate
Deployment, monitoring and runbooks.
Typical first engagement
A domain-modelling and API-design sprint, producing contracts, a data model and load targets before implementation.
Common questions
SQL or NoSQL?
Usually SQL first. We add NoSQL, cache or vector stores when a specific workload needs them.
How do you ensure performance?
Load testing with Locust or JMeter against agreed targets, profiling, and caching where it pays.
Do you document APIs?
Yes. OpenAPI or GraphQL schemas, kept in sync by CI.
