Backend
Hire Backend Developers
APIs, data and the parts that must not fail.
The backend is where correctness is decided. An invoice that disagrees with a booking, a permission check that silently passes, a queue that marks a lost message as delivered — none of these announce themselves. They are discovered weeks later, in the accounts.
That shapes what we look for: people who model the domain before reaching for a framework, who treat money and permissions as things that must be provably right rather than probably right, and who have carried a system they wrote.
Modelling the domain first is the habit that pays for itself. A schema that can represent a state the business considers impossible will eventually contain one, and the cleanup is a data migration rather than a code change. Getting the entities, the keys and the allowed transitions right is slower in week one and is what makes the following year uneventful.
The second habit is treating every external interaction as unreliable. Payment providers time out after succeeding. Webhooks arrive twice, out of order, or a day late. A partner API returns a two hundred with an error in the body. Systems that assume the happy case do not fail loudly when it does not happen — they produce a duplicate charge, or a booking that exists on one side of the boundary and not the other.
Authorisation deserves the same suspicion. Permission checks scattered through controllers are checks somebody will forget to add to the next endpoint, and the omission is invisible until it is a disclosure. Deciding once where authorisation is enforced, and making it impossible to query data without going through it, is a design decision rather than a review process.
Across Java, .NET, Node.js, Python, Go and PHP the language is largely a staffing question and the judgement is the same one. We staff people who have been on call for what they built, because operating a system teaches things about logging, timeouts, retries and migrations that writing one does not.
Node.js Developers
Node engineers who run services in production and have been on call for the ones they wrote.
Python Developers
Python engineers who build typed, tested services rather than scripts that grew into one.
.NET Developers
.NET engineers who are equally at home in modern .NET and in the Framework estates still running the business.
Java Developers
Java engineers who maintain and modernise the services larger organisations genuinely depend on.
PHP Developers
PHP engineers who write modern PHP 8 and can also stabilise the legacy code you inherited.
Go Developers
Go engineers who use the language where it wins — throughput, concurrency and small deployable binaries.
What to look for when hiring
A good question is what they would do about a duplicate webhook arriving four hundred milliseconds after the first. The answer tells you whether they have run something in production. A second one worth asking is how they would deploy a schema change to a table that is written to continuously — a candidate who has done it talks about doing it in stages, and one who has not describes a maintenance window.