Backend Development
Backend engineering for products that carry money and data: APIs designed for the next five years, not the demo.
Good back-ends are boring: predictable under load, honest about failure, observable in production and documented for the humans who inherit them. The work spans API design and implementation, third-party integrations, performance tuning, and rescue of systems that have started throwing 3am surprises.
Primary stack: Node.js, PostgreSQL, Redis where caching is genuinely needed. Boring and proven beats novel and fragile, your database is not the place for adventure.
Questions
Asked about backend.
Yes, inherited systems are a specialty. The engagement starts with a read-only audit: architecture, security posture, performance profile, and the honest verdict on fix versus rebuild. You see the evidence before committing to either.
Authentication, rate limiting, input validation, least-privilege access and secrets handled properly are baseline, not extras. For regulated work, the specific compliance requirements are scoped into the build.
Deployment, CI/CD and the hosting layer are set up in your own accounts with a runbook, you are never locked into somebody else’s server. Deep platform engineering beyond that gets scoped with specialists on larger projects.
Stacks and specializations
Deeper into this discipline.
Node.js
Node.js back-ends built like infrastructure: typed, tested on the money paths, observable, not a pile of endpoints that work on demo day.
PHP
PHP work without the sneer, the language runs a third of the web, and doing it properly is a specialty worth hiring.
Python
Python for what Python is best at: automation, data-adjacent services, APIs and the glue that holds business systems together.
Laravel
Laravel for what Laravel is best at: business applications with real workflows, admin panels and APIs, shipped fast, maintained sanely.
APIs
APIs as products: designed for their consumers, documented, versioned and observable, the connective tissue done so well nobody thinks about it.
Databases
The layer where mistakes are permanent: schemas designed for the queries they serve, migrations that never stop the business, restores that are tested.
Integrations
Integrations where the failure paths get as much engineering as the happy path, because production is where the happy path ends.
Related services
Web Application Development
Dashboards, portals and internal tools with real authentication, real permissions and code you own.
Custom Web Development
When templates cost more than they save: custom web development built on modern stacks, priced before work starts.
Full-Stack Development
Full-stack delivery with a single accountable pair of hands: interface, API, database and deployment owned end to end.