Hire a Node.js developer
The endpoint is the easy part.
Writing a route handler is a solved problem. What decides whether a backend is still good to work with in three years is the set of choices around it: the data model you cannot cheaply undo, the API contract other teams build against, how realtime updates reach clients without hammering the database, where long-running work goes when a request cannot wait for it, and which query starts timing out once the table is real. That is the work I am hired for.
Where Node backends actually break
Backends rarely fail at the part people interview for. The route handler is fine. What breaks is the thing that was decided quickly in week two and then had two years of product built on top of it.
A data model that let nulls and duplicates in because the constraint lived in application code, and now every read is defensive. Endpoints shaped around one screen, so the mobile client makes nine calls to render a list. A report that ran inside the request and was quick until a customer had four years of history. A realtime channel that reconnects into a fresh subscription on every network blip and fans out to everyone. The N+1query that was invisible on seed data and takes eleven seconds on production volume. And the third-party sync with no retry, no backoff, and no dead letter — so the failures from Tuesday simply do not exist anywhere.
Ten years of production Node has mostly taught me where to look first and which shortcuts are genuinely fine. Not every service needs a queue, not every screen needs a socket, and caching over a bad access pattern only moves the incident. I would rather fix the shape of the thing than add another layer in front of it.
How I build it
The data model first, and carefully
Everything downstream inherits this decision and it is the most expensive one to reverse. I spend real time on relationships, constraints, and what must be true at the database level rather than merely hoped for in application code — because integrity enforced in one service is integrity until the second service writes.
API contracts that can change without breaking clients
Consistent resource shapes, predictable pagination and filtering, errors a client can actually branch on, and additive evolution instead of v2 endpoints that fork your logic. If a mobile app or a partner integrates with it, the contract is the product and breaking it is a support incident.
Realtime where it earns its keep
Socket.IO for the surfaces where live status genuinely changes behaviour — a pipeline view, a notification, a document that just cleared. Not for everything: every realtime surface is a subscription lifecycle, a reconnection path, and a fan-out cost, and plenty of screens are better served by a refetch.
Long-running work off the request path
Report generation, document assembly, imports, and third-party syncs belong in queues and workers with visible status, retries, and a dead-letter path — not in a request hoping the client does not hang up. This is also where most mysterious production timeouts turn out to have come from.
Query performance before it becomes an incident
The N+1 that is invisible on seed data and fatal on real volume, the missing composite index, the report that scans a table it should aggregate. I read query plans, fix the access pattern rather than adding a cache over the problem, and check the paths that matter under realistic data.
Shipped, observed, and operable
Dockerised builds, CI/CD that deploys the same artifact every time, structured logs with request correlation, and enough instrumentation to answer why it was slow on Tuesday. Code that only runs on the machine it was written on is not finished.
What you get
- A relational or document data model with real constraints, plus migrations
- A documented, consistent REST API your clients can build against
- Auth, roles, and multi-tenant scoping applied uniformly across routes
- Background job processing with retries, status, and dead-letter handling
- Realtime channels where they change behaviour, with a sane reconnect story
- Docker, CI/CD, structured logging, and a deploy anyone on the team can run
Where I have done this before
Five years on an enterprise Node and Express mortgage platform — loan workflow modules, realtime portals for lenders, borrowers, and agents, and automation across a pipeline where a stalled task costs real money.
Built end-to-end, then rebuilt as the business grew from regional clearances to projects across twenty-five countries, including backend query optimisation and validation through a reporting pipeline where a wrong number becomes a wrong disclosure.
How we would work
- Own a build end-to-end, from data model to shipped interface
- Drop into an existing team and carry a workstream
- Scope and prototype a feature before you commit a budget to it
- Review an architecture before it has to scale
I work to your timezone rather than asking you to work around mine — my hours shift to cover your team’s working day, wherever that is. Live calls where they earn the time, written updates for everything else.
Top Rated Plus · Top 3% on Toptal · 100% Job Success · 10 yrs in production.
Questions people ask before hiring
Plain Node, Express, or NestJS for our project?
Express when the service is small and focused and structure would be overhead. Nest when there is a team, a growing domain, and a need for conventions that survive turnover. The wrong-for-you choice is picking either one because it is fashionable — I will ask about team size, expected lifespan, and who maintains it after launch before recommending one.
PostgreSQL or MongoDB?
Postgres by default. Most application data is relational whether or not you model it that way, and constraints, transactions, and joins in the database beat reimplementing them in application code. Mongo fits genuinely document-shaped data with variable structure — I have shipped both, and the projects that regretted their choice almost all went the other direction.
Can you take over an existing codebase?
Yes. I start by getting it running locally, reading the parts that handle money, auth, or data integrity, and writing a short honest assessment of where the risk actually is. You get that before I propose changes, because inherited codebases usually contain two or three deliberate decisions that look wrong until you know why they are there.
Do you do frontend too, or backend only?
Both. I work across React, Next.js, and Angular, which in practice means the API gets designed by someone who has to consume it — fewer round trips, response shapes that match how the screen actually renders, and no negotiation between two contractors about whose layer should do the transformation.
How do you handle long-running or scheduled work?
Queues and workers, with the job's status visible to the user who triggered it, bounded retries with backoff, idempotent handlers so a retry cannot double-charge or double-send, and a dead-letter path someone actually looks at. Scheduled work runs the same way, with locking so two instances cannot run the same job.
How do you handle remote collaboration?
I adapt my schedule to your team's working hours rather than asking you to meet mine. Expect live calls for planning and review, a written update on what moved and what is blocked, and pull requests small enough to review in a coffee break rather than a meeting.
Tell me what you are building.
You get an honest answer on fit within 24 hours — including when the answer is that you do not need me.