- API contract / OpenAPI specification
- Working implementation
- Load test results
- Code review checklist for your team going forward
Java Backend Development
Backend APIs built by the people who'll be on call for them.
A lot of “Java backend development” work is really junior developers assembling Spring Boot boilerplate.
Ours is architects who've operated what they built — REST and GraphQL APIs on Spring Boot, Spring Security and JPA/Hibernate, on Java 17 and above, designed around the query patterns and load your system actually has rather than a generic CRUD template.
01 In practice
What this looks like in practice
01
API design — REST or GraphQL — driven by actual client access patterns, versioned from day one.
02
Spring Security configured for your actual auth model: OAuth2/OIDC, API keys, or both.
03
JPA/Hibernate used deliberately, with N+1 query traps caught in code review, not production.
04
Database access patterns benchmarked under realistic load before launch.
05
Clean separation between domain logic and framework code, so the next engineer isn't fighting the codebase.
02 Deliverables
What you get
03 Proof
This stack, in production
The backend layer of the order-processing platform is built on this stack — Spring Boot services that have been in production for 2+ years.
04 FAQ
Java backend development — frequently asked questions
What makes this different from any other Java development shop?
A lot of Java backend work is really junior developers assembling Spring Boot boilerplate. Ours is architects who have operated what they built. That changes the decisions: API surfaces get versioned before the first external consumer exists, query patterns get benchmarked before launch rather than diagnosed during an incident, and domain logic stays separable from framework code because someone will have to change it later.
REST or GraphQL — which should we use?
It depends on your client access patterns, which is why we start there rather than with a preference. GraphQL earns its complexity when clients need to compose varied views over the same graph and over-fetching is a real cost. REST is simpler to cache, operate and explain, and is usually the right answer for service-to-service and straightforward client APIs. We build both and will tell you which one your traffic actually calls for.
Which Java version do you build on?
Java 17 and above, with Java 21 as the default for new work since it is the current long-term support release. If your platform is on Java 8 or 11, backend development and an upgrade path usually belong in the same conversation — see our legacy Java modernisation service for how we sequence that without freezing delivery.
How do you avoid N+1 query problems with JPA/Hibernate?
By treating JPA as something used deliberately rather than by default. N+1 traps are caught in code review, and database access patterns are benchmarked under realistic load before launch rather than discovered when traffic arrives. The ORM is a convenience, not an excuse to stop thinking about what SQL actually runs.
Do you work with our existing codebase or start fresh?
Either. Most engagements are additive — new APIs and capabilities inside a codebase you already run — because that is where the constraints are real and the risk is highest. The code review checklist we hand over at the end is aimed at exactly that situation: keeping the standard after we are gone.
Talk to an architect about your backend.
Tell us what the API has to do and who's calling it — we'll design around your actual access patterns.