Hire Laravel Developers in India
Hire Laravel developers in India who can read an Eloquent model and tell you why the page is slow, keep a queue worker alive through a deploy, and take an application forward a major version without breaking the parts that earn money.
What You Get When You Hire Laravel Developers, and What You Do Not
Laravel is not a dialect of PHP. It is a set of decisions already made for you, and the developer you hire is someone who either agrees with those decisions or fights them all year.
The framework makes the easy path easy and the fast path invisible
This is the single most useful thing to understand before you write a brief. Laravel is very good at letting an average developer produce working software quickly. Eloquent will happily fetch a customer, walk to their orders, walk from each order to its line items, and render the lot in a Blade template, and every one of those steps reads like a property access. Nothing in the code looks like a database call. That is the point of an ORM, and it is also why performance problems in Laravel applications are invisible in the source and obvious only in the query log.
So the skill you are buying is not "can write Laravel". Most people who list Laravel on a CV can write Laravel. The skill is knowing what the framework is doing underneath the convenience, and knowing when the convenient thing is the wrong thing. A developer who has only ever built greenfield features on small datasets has never had that tested.
What actually sits on the desk in an ordinary week
On a live Laravel application, the week tends to look like this. A ticket about a page that used to be quick. A third party integration that started returning a different error shape. A migration that has to run against a table large enough that locking it matters. A queued job that is failing intermittently and only in production. Two or three feature tickets from the roadmap. Somewhere in there, a Composer update that has been deferred for months because nobody wants to be the one who runs it.
None of that is exotic. All of it is different from what a Laravel tutorial prepares a developer for, and it is the reason we screen on inherited code rather than on blank projects.
Where a general PHP developer runs out of road
Plenty of good PHP developers are not good Laravel developers, and the gap is specific rather than vague. It shows up in the container, in queue behaviour, in authorisation, and in the assumption that a request is the only thing running. If your codebase spans Laravel alongside WordPress, Symfony or hand-rolled PHP, the honest answer is that you want people picked for the framework the work sits in. Our PHP developers in India page covers that wider ground; this page is about Laravel and the things that only bite inside it.
Why Does a Laravel App That Was Fine Last Year Now Take Four Seconds to Load?
Because it has more rows in it than it did last year, and something in the page is doing work once per row. Nine times in ten, that is the whole diagnosis. Eloquent is where we start screening, because Eloquent is where the money leaks.
The loop you cannot see in the Blade template
The N+1 query is not a subtle problem. It is just an unlabelled one. A controller fetches fifty orders. The template loops over them and prints the customer name from each order's relationship. Each print is a fresh query, so the page issues fifty one queries instead of two. With fifty rows and a database on the same machine, nobody notices. With two thousand rows, or a database one network hop away, the page falls over.
What makes this a Laravel problem specifically is that the code that causes it is completely ordinary. Nothing is written badly. The relationship access in the template looks identical whether the data was preloaded or not, which is exactly why it survives code review. A developer who has been burned by this reads templates differently: every relationship access inside a loop gets checked against what the controller actually loaded.
Eloquent can be told to stop tolerating it. Turning on strict mode in a non-production environment makes a lazy relationship load throw instead of quietly issuing a query, which converts an N+1 into a failing test rather than a slow page and a support ticket. We ask about this in interviews. Developers who know it exists have almost always earned that knowledge the hard way.
Eager loading, and how people overdo it
The fix is eager loading, and the fix has its own failure mode. Adding relationships to a with() call solves the query count and can quietly move the cost somewhere worse: pulling three levels of relationship into memory to render two columns, or hydrating ten thousand model objects when a count would have done. A page that went from two hundred queries to four queries and from three seconds to four seconds has been optimised in the wrong direction.
The habits to screen for are narrower than "use with()". Loading only the columns a page needs rather than whole rows. Using a relationship count instead of loading the related records to count them. Loading relationships conditionally after the fact when only some branches need them. Chunking or streaming results for anything that processes a large set, so a console command does not try to hold the table in memory. These are ordinary skills and they are unevenly distributed.
When to leave Eloquent and when not to
There is a point where an ORM stops helping. Aggregations across several tables, reporting queries with window functions, bulk updates over hundreds of thousands of rows: those are cheaper and clearer written against the query builder, or as raw SQL with bound parameters. A senior Laravel developer will drop down without apologising for it and without abandoning binding safety.
The trade-off is real, and it is the thing juniors get wrong in both directions. Query builder and raw SQL skip model events, skip observers, skip global scopes and skip anything a model was relying on to stay consistent. A bulk update run through the query builder does not fire the updated event, so whatever was hanging off that event, an audit log, a cache invalidation, a search index update, silently does not happen. That is a genuinely nasty bug because everything appears to work. The discipline is to know which mechanism you have just bypassed and to handle it deliberately.
Mass assignment, and the other edge of convenience
Filling a model straight from request input is one line and it is the reason mass assignment protection exists. Laravel guards against it, and a surprising number of applications turn the guard off because it was inconvenient during a sprint. Once a model is unguarded, any field an attacker can name in a form post is a field they can write, including the one that decides whether an account is an administrator.
The related habit is validating with form request classes and then filling the model from the validated data rather than from the raw request. It is barely more code and it means the set of writable fields is explicit at the point of writing. When we review an inherited codebase, unguarded models and controllers filling from raw request input go on the findings list in the first week, alongside anything building SQL by concatenation.
Measuring rather than arguing
None of the above is worth much without numbers. Laravel Telescope in a development or staging environment gives request by request query counts, timings and duplicate query detection. Debugbar and Clockwork do a similar job with less setup. Pulse is the newer first party option for keeping an eye on a running application. Underneath any of them, EXPLAIN on the two or three queries that dominate a request tells you whether the database is using the index you assumed it was.
What we ask a developer to produce is a before and after: query count and wall time on the same request, on comparable data. If a performance fix cannot be stated as two numbers, it has not been demonstrated. Opinions about speed are cheap and this industry is full of them.
The Opinionated Surface: What Laravel Decides For You
Every framework has an opinion. Laravel has several strong ones, and each is a place where a developer either knows the mechanism or works around it badly. These are the areas we probe, in roughly the order they cause trouble.
The service container and what binding is for
Laravel resolves your classes for you. Type-hint a dependency in a constructor and the container builds it, following the chain as far as it needs to. That works without any configuration for concrete classes, and it stops working the moment you type-hint an interface, because the container has no way to know which implementation you meant. Binding is how you tell it, in a service provider.
Why does this matter to you as a buyer? Because it is the difference between an application you can test and one you cannot. A payment gateway behind an interface can be swapped for a fake in tests and a sandbox in staging. The same gateway instantiated with new inside a controller cannot, and no amount of test-writing effort afterwards will fix that without restructuring the code. Contextual binding, where two classes needing the same interface get different implementations, is the next step up, and it earns its keep the moment a system has more than one tenant, region or provider.
Facades, and why some teams will not allow them
Facades are the static-looking calls all over Laravel code. They are not really static; each one is a proxy that resolves an object out of the container and forwards the call. The argument for them is readability, and it is a good argument. The argument against is that a class using six facades has six dependencies that do not appear in its constructor, which makes the class harder to reason about, harder to reuse, and dishonest about what it needs.
Both positions are defensible and teams genuinely split on it. What matters for hiring is that your developer knows the mechanism rather than the folklore. They should know facades are fakeable in tests, that real-time facades exist, and that dependency injection is available for anything that wants it. If your team has a house rule either way, put it in the brief. A developer who arrives writing facades into a codebase that deliberately avoids them creates review friction from week one, and it is entirely avoidable.
Middleware order is behaviour, not style
Middleware runs in a defined sequence and the sequence changes what the application does. Session handling has to run before anything that reads the session. Authentication has to run before authorisation, and both before anything that assumes a user object exists. Rate limiting placed after an expensive middleware still pays for the expensive middleware on every blocked request, which defeats a good part of the point.
Laravel gives you global middleware, groups for web and API traffic, route-level middleware and an explicit priority list for the cases where order cannot be left to chance. The recent framework skeleton moved this registration out of the HTTP kernel class into the application bootstrap file, which is the kind of change that matters more to an upgrade than to a feature. When a developer tells us a request is behaving strangely under authentication, our first question is what the middleware stack on that route actually is, in order.
Form requests: validation with a home of its own
Validation inside controllers is where Laravel controllers go to get long. A form request class moves the rules out, gives them a name, and carries an authorise method alongside them so the question of who may perform this action sits next to the question of whether the input is valid. It also means the validated data is available as a distinct thing, separate from the raw request, which is what makes the mass assignment habit above safe.
What we look for is whether the developer treats form requests as a place for real rules. Conditional rules that depend on other fields, rules that hit the database for uniqueness while excluding the current record on an update, input normalisation before validation runs, error messages a human can act on. A controller that accepts anything and lets the database throw is not validation, it is a stack trace waiting for a customer to find it.
Policies and gates: authorisation the API also respects
Laravel gives you two related tools. Gates are closures for simple, model-free permissions. Policies are classes tied to a model, with a method per action, discovered by convention. Both plug into the same authorise call in controllers, the same middleware, and the same Blade directives that hide UI a user may not use.
The failure we find most often on inherited applications is not a missing policy. It is a policy applied in the Blade template and nowhere else. The button disappears, and the route behind it happily accepts a request from anyone who knows the URL. That is a hole, and it is a common one, because hiding the button makes the feature look finished. A real authorisation review walks the routes rather than the screens. Ask a candidate how they would prove a given endpoint is authorised, and listen for whether the answer involves a test.
Events, listeners and the things that quietly do not fire
Events are how Laravel applications keep side effects out of the main path. An order is placed, an event goes out, and separate listeners send the confirmation, notify the warehouse and update the reporting table. Listeners can be queued individually, which is usually what you want for anything touching a third party. Model events and observers give you the same idea attached to the lifecycle of a record.
The gotcha is the one mentioned earlier and it is worth repeating here because it costs real money: model events fire when models are saved and deleted, not when rows are changed through the query builder. A bulk update or a mass delete skips them entirely. Applications that rely on observers for audit trails or cache busting develop quiet gaps exactly where somebody optimised a slow loop into a single bulk statement. Fixing that is easy once you know; finding it six months later, from an audit trail with holes in it, is not.
Queues and Scheduled Work, or Why It Worked on the Developer's Laptop
Background work is where Laravel applications break in ways that never reproduce in development. The reason is nearly always the same: locally, the queue driver was set to run everything inline, so there was no queue at all.
The worker nobody restarted
A queue worker is a long-running PHP process. It boots the application once and then handles jobs forever, which is what makes it fast and is also the source of the classic incident: you deploy new code and the workers keep running the old code, because nothing told them to stop. Laravel has a command that signals workers to finish their current job and exit, and a process supervisor then starts fresh ones. If that command is not in your deployment script, your background jobs are running whatever was current the last time somebody rebooted the box.
This is the first thing we check on an inherited application, and it is wrong more often than you would expect. The symptom is maddening: a bug fixed a week ago still happening, but only for emails, or only for exports.
What happens when a job fails
A job that throws is retried up to the attempt limit set on it, and after the last attempt the payload and the exception are written to the failed jobs table. From there it can be inspected and pushed back through, individually or in bulk. A job class can also define a failed method that runs after the final attempt, which is where you put the compensating action: mark the record, alert someone, release the lock.
What matters is that somebody decided these numbers deliberately. An unlimited retry on a job that fails because of a validation bug is an infinite loop with a cost attached. One attempt on a job that calls a flaky third party API means a transient network blip loses a customer's document. Neither default is right for every job, which is why the answer we want from a candidate is per-job, not global.
Retries, backoff and the timeout trap
Retrying immediately against a service that is already struggling makes the outage worse. Laravel lets a job declare a backoff, including an increasing one across attempts, so the second try waits longer than the first. It also lets a job declare a deadline after which retrying stops regardless of attempt count, which suits work that has no value once it is late.
Then there is the trap that catches good developers. A worker has a timeout, the maximum seconds a job may run before the process kills it. The queue connection has a separate retry_after value, the number of seconds before an unacknowledged job is considered lost and released back for another worker to take. If retry_after is smaller than the worker timeout, a slow job gets picked up a second time while the first copy is still working. Two workers, same job, same time. On anything that writes, that is a duplicate, and on anything that charges a card, it is a support incident. The rule is that the retry window must be comfortably longer than the timeout, and a developer who can explain that relationship has run production queues.
Idempotency, or the retry that charges twice
Anything that retries has to be safe to run twice, because sooner or later it will be. Laravel gives you a unique job interface that prevents a second copy of the same job being queued while one is pending, and an overlap-prevention middleware built on cache locks for the cases where the constraint is about the resource rather than the job.
Those help, and they are not a substitute for the handler being idempotent. Incoming payment webhooks are the standard example: the provider retries on any non-2xx response, your queue retries on exception, and the two multiply. The handler needs to record the provider's event identifier and check it before acting, so a second delivery of the same event does nothing. We ask candidates to talk through a webhook handler for exactly this reason. It separates people who have integrated a payment provider from people who have read about it.
Scheduled work and the single cron entry
Laravel's scheduler is not many cron jobs. It is one cron entry, running the scheduler every minute, with the actual schedule expressed in PHP inside your application. That is a genuine improvement: the schedule lives in version control, gets code-reviewed, and changes with a deploy rather than with a server login.
Two options on it matter in production. Overlap prevention stops a task that ran long from being started again while the previous run is still going, which is what turns a slow nightly export into two slow nightly exports fighting over the same table. Single-server execution stops the same task firing on every machine when the application runs on more than one, and it needs a shared cache to coordinate. Applications get deployed behind a load balancer without either of these being set, and the resulting duplicate emails are a rite of passage nobody enjoys.
Horizon: what it gives you and what it does not
Horizon supervises Redis-backed queues and gives you a dashboard: throughput, wait times per queue, failed jobs with their payloads, tags for tracing a job back to the model it belongs to, and alerting when a queue's wait time crosses a threshold you set. It also balances workers across queues so a flood of low-priority jobs does not starve the ones that matter.
Two honest caveats. Horizon is for Redis; if your queue runs on SQS or the database, Horizon is not the tool and you need supervision and visibility elsewhere. And Horizon has its own termination command that belongs in the deploy script for the same reason plain workers do. Teams that install Horizon and stop there often have a beautiful dashboard showing the behaviour of code from three deploys ago.
Which Parts of the Laravel Ecosystem Have You Already Committed To?
This is the question that narrows a Laravel hire faster than seniority does. The framework is one thing; the surrounding first party and community stack is a set of forks in the road, and each fork rules people out. Tell us which of these are already in your composer file and the shortlist changes shape.
Forge and Envoyer, or your own pipeline
Forge provisions and manages servers on your own cloud account and gives you deploy scripts, queue worker management, scheduled task configuration and certificates without anyone writing infrastructure code. Envoyer sits alongside it for zero-downtime deploys by preparing a new release directory and switching a symlink. For a large number of Laravel applications this combination is entirely sufficient, and proposing Kubernetes instead is usually an expensive way to solve a problem the client does not have.
What changes the hire is whether you are on that path or on a container pipeline of your own. A developer whose deployment experience is entirely Forge will need help with a Docker and CI setup, and a developer who has only shipped containers will make assumptions about the filesystem that a Forge server does not share. Neither is a problem if it is known in advance. It is a problem when it surfaces in week three.
Vapor and running Laravel without servers
Vapor runs Laravel on AWS Lambda, and it is a different set of constraints rather than the same application somewhere cheaper. There is no persistent local filesystem, so anything writing files needs object storage. Responses have a hard size limit, which catches large downloads generated inline. Database connection limits become a real design concern because concurrent Lambda invocations each want a connection. Queues, the scheduler and asset serving all work differently.
Vapor is a good fit for spiky traffic and teams with no appetite for servers. It is a poor fit for applications that lean on long-running processes or local file handling, and it narrows your hiring pool noticeably, because the intersection of solid Laravel and working AWS knowledge is smaller than either group alone. If you are on Vapor, say so in the first line of the brief.
Livewire, and the latency question nobody asks
Livewire lets you build interactive interfaces in PHP and Blade, with component state kept on the server and each interaction going over the network. When it fits, it is a large saving: no separate front-end application, no API layer, one language, one set of validation rules.
Here is the part that gets skipped in the comparison articles, and it matters especially when the application is built in one country and used in another. Every interaction is a round trip. A dropdown that filters a list, a form field that validates as you type, a wizard step: each is a request to your server and back. On a fast connection to a nearby server that feels instant. To a user two continents away from where the application is hosted, it feels like typing through treacle. Livewire has tools to reduce the traffic, and they mitigate rather than remove the effect. Decide with your users' geography in front of you.
Inertia, when the front end is genuinely an application
Inertia takes the other route. Vue, React or Svelte render the pages, Laravel keeps owning routing, validation, authorisation and the database, and there is no separate API to design or version. For products with rich client-side state, drag and drop, offline tolerance or heavy interactivity, this is usually the better shape.
It also changes who you need. An Inertia application maintained by people with no real front-end depth becomes a liability quickly, because the Laravel half stays healthy while the JavaScript half accumulates. If your front end is Vue, staffing that side properly matters as much as the Laravel side, and our Vue.js developers in India page covers what to screen for there. If it is React, the same argument applies and our React developers in India page is the equivalent read. On a small team, one person can hold both ends. On a growing product, they usually should not.
Filament and Nova for the screens nobody wants to build
Internal admin screens are where roadmaps go to die. Someone in operations needs to search records, edit a few fields, run an export and not be able to see the salary column, and building that by hand costs weeks nobody planned. Filament is the open source option, built on Livewire and Tailwind, with resources generated from your Eloquent models. Nova is the first party paid option, with a similar shape and a different licensing story.
The judgement call is the same for both. These packages are excellent while the requirement resembles records, forms, filters and roles. They get expensive when the workflow is genuinely unusual, because you end up writing custom pages and fields inside the package's conventions, which is harder than writing plain Blade would have been. We give a view on which side of that line a requirement falls before it becomes three weeks of fighting a panel.
Octane, and whether you are ready for it
Octane keeps your application booted between requests using Swoole, RoadRunner or FrankenPHP, so framework bootstrap stops happening on every hit. For a high-throughput API that can be a substantial gain.
It also changes an assumption that most Laravel code silently relies on: that everything is thrown away at the end of a request. Under Octane it is not. Static properties keep their values. Singletons hold whatever they were holding, including, if someone was careless, the previous user's data. Anything caching state in a container binding needs auditing before you switch. The right order is to profile first, confirm bootstrap is genuinely the bottleneck rather than the database, then audit for state leakage, then enable it. Reaching for Octane before profiling is how a fast application becomes an application with a strange intermittent bug.
The rest of the first party shelf
A brief that names these saves everyone a week. Sanctum handles API tokens and cookie-based authentication for a first-party SPA; Passport is full OAuth2 and is the right answer only when you genuinely need third party clients. Scout puts search behind a driver so you can run Algolia, Meilisearch or a database index without rewriting query code. Cashier wraps subscription billing against Stripe or Paddle, including the webhook handling and proration logic you do not want to write twice. Breeze, Jetstream and Fortify are three different levels of pre-built authentication, and knowing which one a codebase started from explains a lot about how its auth is structured.
Testing a Laravel Codebase: Pest, PHPUnit and the Database Problem
Laravel has unusually good testing tools for a PHP framework, which makes an untested Laravel application a choice rather than an accident. Here is what a competent test suite looks like and what it costs to add one to something that has none.
Pest or PHPUnit
Pest runs on top of PHPUnit rather than replacing it, so the two coexist and a codebase can move gradually. The difference is expression: Pest tests are closures with a readable syntax, higher-order expectations and less ceremony, while PHPUnit tests are classes and methods that any PHP developer can read without learning anything new.
We do not have a religious position here. What matters is consistency within a codebase and honesty in the brief. A developer who has only written Pest will manage PHPUnit within a day; the reverse is also true. What causes friction is a codebase with both, written by people who each preferred their own, with no convention about which to use for what.
The database strategy is the decision that actually matters
Feature tests in Laravel touch a real database, and how you reset it between tests decides both your suite's speed and its truthfulness. Wrapping each test in a transaction and rolling back is the fast default. Migrating fresh per test class is slower and cleaner. Running the whole suite against an in-memory SQLite database is fastest of all and is where teams get hurt, because SQLite is not MySQL or PostgreSQL: JSON functions differ, foreign key enforcement is off unless you enable it, some column types behave differently, and full-text search is a different animal entirely.
The result is a suite that passes locally and lets a production-only bug through, which is worse than having no suite, because it bought confidence it had not earned. Our position is that feature tests should run against the same engine as production, accept the slower run, and use parallel execution with separate test databases to get the time back. If a client's existing suite is on SQLite, we say so and let them decide.
HTTP tests, and the fakes that go with them
The highest-value tests in a Laravel application are the ones that call a route and assert on the outcome. Post to the endpoint as a given user, assert the response status, assert the database now contains what it should, assert the queued job was dispatched. That single test exercises routing, middleware, validation, authorisation, the controller, the model and the database, which is a lot of coverage per line of test code.
Laravel's fakes make that practical. Outbound HTTP can be faked so tests never touch a third party. The queue can be faked so you assert a job was pushed rather than running it. Mail, notifications and storage all have the same treatment. One caution: faking events wholesale also silences model events, which can hide a problem rather than isolate it. Fake the specific events you mean to.
What to test first when there are no tests at all
Chasing a coverage percentage on an inherited application is a way to spend a month and learn little. The order we work in is money first, then permissions, then the last incident. Whatever calculates a price, applies a discount, charges a card or issues a refund gets a test. Whatever decides who can see or do what gets a test, exercised through the route rather than through the policy class, because the route is where the hole was. Then whatever broke most recently, so it cannot break the same way twice.
That is usually a couple of dozen tests, and it changes the engagement, because from then on a refactor can be attempted rather than avoided. Everything after that can grow with the features.
What Does an Out-of-Date Laravel Application Actually Cost You?
Laravel moves quickly by the standards of enterprise frameworks. A major version arrives roughly once a year, each one is supported for a bounded window of bug fixes and then security fixes, and the exact dates are published by the framework itself. Falling behind is not a moral failing. Staying behind gets expensive in ways that are easy to miss on a balance sheet.
The four costs of standing still
First, security. Once your framework version is out of its security window, published vulnerabilities in the framework and its dependencies stop being patched for you. The same applies to your PHP version, and the two are coupled, because each Laravel major raises the minimum PHP it will run on.
Second, hiring. Developers who work on current Laravel do not enjoy being put on a codebase several versions behind, and the ones who will do it happily are not always the ones you want. This is a real constraint on your candidate pool and it tightens every year you wait.
Third, packages. The community ecosystem tracks recent versions. A package you need a fix or a new feature from will require a framework version you are not on, and you end up either forking it or writing around it. That cost compounds silently.
Fourth, the size of the eventual jump. Upgrading one major version at a time is routine work. Three at once is a project with a risk register, and the difference is not linear.
What an upgrade actually involves
The framework portion is the smallest part. Laravel publishes an upgrade guide per version listing changed signatures, removed methods and shifted defaults, and a good deal of it is mechanical editing. Where the hours go is elsewhere.
Published files come first. Anyone who published vendor config or views into the application and then edited them now owns a fork of that file, and it will not receive upstream changes. Every one has to be diffed against the new version by hand. Then the package audit: for each dependency, is there a version compatible with the target framework, is the package still maintained, and if it is abandoned, what replaces it or absorbs it. On older applications this is where the schedule is decided, not by the framework at all.
Then the skeleton. Recent Laravel versions restructured the application skeleton substantially, moving things like middleware and exception handling registration out of kernel classes and into a bootstrap file. Existing applications are not forced to adopt the new structure to run, which means an upgraded codebase can end up with two conventions in it. Deciding whether to adopt the new layout is a separate call from the version bump, and it should be made deliberately rather than half-done.
Rector, Shift, and doing it by hand
Automation helps, and it is not the whole job. Rector applies code transformations from rule sets, including Laravel-specific ones, and handles a good share of the repetitive edits. Laravel Shift is a paid service that automates version-to-version upgrades and produces a pull request. Use both. Neither of them knows what your application is supposed to do.
Which brings the argument back to tests. An upgrade without a test suite is a change you cannot verify, so it gets verified by customers. If an application has no tests and needs an upgrade, we write tests around the critical paths first and treat that as part of the upgrade cost rather than a separate nice-to-have. That is the honest sequence and it is the one we quote against.
One jump or several
Where an application is far behind, we go one major version at a time, running the suite and deploying between each. It is slower on paper and shorter in practice, because when something breaks you know exactly which version's changes broke it. The alternative, a single leap across several versions, gives you a failure with several possible causes and a bisect that does not help. On an application still earning revenue during the work, that difference decides whether the upgrade lands in a planned window or in an incident channel.
How Senior Does Your Laravel Developer Need to Be?
Job titles travel badly between companies. These four descriptions are about what someone can be trusted to hold, which is the only definition that helps you decide.
Can build a feature inside an existing pattern
Give this developer a codebase with clear conventions and a well-described ticket, and they will produce a controller, a form request, a migration, a Blade or Livewire view and a test that matches the ones around it. They work well with review. They will not spot that the new page introduces an N+1 until someone points at the query log, and they should not be the only person looking at a schema change on a large table. On a healthy team with real review, this is productive and good value.
Can hold the application
The next step is someone you can leave with a live application. They read query logs without being asked, know when Eloquent is the wrong tool for a particular report, configure queue retries per job rather than accepting defaults, and write authorisation tests against routes. They can take a vague ticket and come back with the two questions that actually decide the design. This is the level most engagements need, and it is the level we aim at by default because the difference in cost is small and the difference in outcome is not.
Can change the application's shape
Above that is the developer who can restructure something without stopping delivery. Extracting a bounded piece of a monolith into its own service and keeping both running. Moving a heavy synchronous flow onto queues without dropping work in the transition. Planning a major version upgrade around a release calendar. Deciding whether Octane is worth the audit it demands. They are also the person who will tell you the requested change is a bad idea, which is a large part of the value.
Can lead other developers
A lead spends real time on other people's code. They set the conventions, run reviews that teach rather than gatekeep, break work into pieces that can be done in parallel without three people editing the same service class, and keep a written decision record so the next team is not archaeology. On a distributed engagement this role matters more than it does in an office, because the ambient corrections that happen in a room have to be made explicit instead.
Three Briefs We See Over and Over
These are composite patterns drawn from the shape of the enquiries that reach us, not accounts of named clients. If one of them sounds like your situation, the diagnosis section is the part worth reading.
The application an agency built, then nobody touched for eighteen months
The pattern: a Laravel product was delivered, it worked, the agency relationship ended, and the application has been running unchanged since. Now something needs to change and there is nobody who knows it. The composer lock file is old, there are no tests, the readme is the framework's default, and the only person who ever deployed it left.
What goes wrong first is not the feature. It is that nobody can get the thing running locally, because the environment file on the server has values that exist nowhere else, and a package that was installed from a private repository is no longer reachable. Then the queue turns out to be running under a supervisor configuration written by hand on the server, referencing a path that has moved.
What the work looks like: reproduce it locally with a sanitised copy of the data, document what that took, get it into a pipeline, audit dependencies for abandoned and vulnerable packages, then write tests around whatever the business says must not break. The feature request is fourth in the queue, and clients who let it be fourth get a better outcome than clients who insist it is first.
The reporting page that took the database with it
The pattern: an internal dashboard was added by whoever was available. It ran fine against six months of data. Eighteen months in, opening it puts the database CPU on the floor, and because the queue runs on the same database, background jobs back up behind it and customers stop receiving emails. Two symptoms, one cause, and the second symptom is the one that gets reported.
What is usually happening: nested relationship access inside a template loop, plus a per-row count, plus an order clause on a column with no index that matches it. The page hydrates thousands of model objects to display forty rows of totals.
What the work looks like: measure first, with query counts and timings on the real request. Then replace the hydration with an aggregate query against the query builder, add the composite index that matches the actual where and order clauses, and confirm with EXPLAIN that the database agrees. Cache the result if the numbers genuinely tolerate being a few minutes old, and not before. If the queue is on the same database as the application, that is the second conversation, because those two workloads should not be competing.
The payment webhook that charged some customers twice
The pattern: subscription billing is live, and a handful of customers report a duplicate charge or a duplicate entitlement. It is intermittent, it never reproduces in staging, and the logs look fine because both runs succeeded.
Underneath it: the webhook endpoint accepts the event and pushes a job. The job is slow, because it calls the provider back for details and writes several records. The worker timeout is longer than the queue retry window, so a second worker picks up the same job while the first is still running. Meanwhile the provider retried its own delivery because the endpoint took too long to acknowledge. Three paths to the same handler, and the handler was never written to be run twice.
The fix has four parts. Acknowledge the webhook immediately and do the work asynchronously, store the provider's event identifier with a unique constraint and check it before acting, correct the relationship between the worker timeout and the retry window, and add the unique job constraint as a second line of defence rather than the first. Then a test that delivers the same event twice and asserts one charge. That test is the deliverable, because it is what stops the bug coming back next year.
How the Work Runs From India Against Your Working Day
The Laravel-specific version of the timezone question is this: when a deploy leaves the queue workers running old code, who is awake to notice? Answer that honestly before you sign anything.
The arithmetic, which you can check yourself
India keeps a single timezone, UTC+5:30, and never moves its clocks forward or back. A normal working day here of 09:30 to 18:30 therefore sits at 04:00 through 13:00 in UTC, in January and in July alike. Your side of the gap moves twice a year; ours never does. Everything below comes off that one conversion.
| Your location | A 09:00 start in UTC | Shared hours with the Indian day |
|---|---|---|
| London, winter (UTC+0) | 09:00 UTC | About four hours, 09:00 to 13:00 UTC |
| London, summer (UTC+1) | 08:00 UTC | About five hours, 08:00 to 13:00 UTC |
| New York, standard time (UTC-5) | 14:00 UTC | None. The Indian day closed an hour earlier |
| New York, daylight time (UTC-4) | 13:00 UTC | None. Your morning starts exactly as the Indian day ends |
| San Francisco (UTC-8 or UTC-7) | 17:00 or 16:00 UTC | None, by three to four hours |
| Sydney, standard time (UTC+10) | 23:00 UTC the previous day | Three and a half hours, 04:00 to 07:30 UTC |
| Auckland, standard time (UTC+12) | 21:00 UTC the previous day | Ninety minutes, 04:00 to 05:30 UTC |
Read that table before you read anyone's marketing. If you are in the UK, Europe, the Gulf or India-adjacent Asia, an unshifted Indian day gives you a genuine working overlap and nothing needs arranging. Australia and New Zealand get a real but short window at the start of the Indian day, which is enough for a standup and a handover if it is used deliberately. North America gets nothing at all on standard hours, and pretending otherwise is where offshore engagements start going wrong.
What we do about the North American gap
We shift the Indian day. Moving it into the afternoon and evening, so it runs into the early US Eastern working hours, buys three to four hours of live overlap depending on the season. That is enough for a standup, a design conversation and a code review, which is most of what synchronous time is actually for.
Two things need saying plainly about it. It is a staffing arrangement, so the window gets agreed with you in writing before anyone starts, and it does not extend itself informally later. And a permanently evening-shifted day is a real imposition on the person working it, so it is scoped and staffed rather than assumed. Anyone offering you round-the-clock cover as though it were free is describing a rota they have not costed.
Written first, because most of the day is not shared
On a distributed team the default has to be that decisions survive without the meeting. Tickets carry enough context to be picked up cold. Pull requests explain why, not just what. Anything decided in a call gets written into the ticket before the call ends. The end-of-day handover from India lands as your morning starts, and it names what moved, what stalled, and the single decision waiting on you before the next Indian day begins.
For Laravel work specifically, that handover is more useful when it is concrete. Migrations that will run on the next deploy. Queue configuration that changed. A package that had to be pinned and why. Those are the things that surprise a team when they surface in a deploy rather than in a note.
Code review, and what done means
Work goes into your repository, on your branching model, through your pull request process. If you do not have one yet, we bring a straightforward one rather than inventing a parallel process on our side. Reviews happen in the overlap window where they need discussion, and asynchronously with written comments where they do not.
Done, on our side, means the tests pass, the migration is reversible or the reason it is not is written down, the queue and scheduler implications are stated, and the change has been exercised on a staging environment that shares the production database engine. A pull request that says only that the feature works is not finished.
Access, ownership and the things to settle before day one
Code lives in your repository from the first commit, not delivered in a lump at the end. Credentials come through your secret manager rather than a chat message. Production access, if any is needed, is scoped to what the work requires and agreed rather than assumed. Where personal data is involved, what may be copied into a development environment gets decided before anyone copies anything, and a sanitised dataset is usually the answer.
Contract terms, IP assignment, confidentiality and the handling of personal data all belong in the signed agreement, not on a marketing page, so we will not pretend to quote you standard wording here. Bring your own paperwork if you have it. What we can say is that these are settled up front rather than discovered, and that the answer to "who owns the code" is you, from the first push.
Why you are not waiting a quarter to start
The usual reason a Laravel hire takes three months is the recruitment cycle: writing the role, sourcing, screening, interviewing, an offer, and then whatever notice the candidate owes their current employer. We do not run that cycle when you ask, because the engineers are already employed here rather than sourced against your requirement. In practice that means a matched shortlist inside 48 hours and someone working on your backlog within seven days. That is the whole of the availability claim we will make, and the rest of this page is about whether the person is right rather than how fast they arrive.
What Goes Wrong on Offshore Laravel Work
Six failure modes, all of which we have watched happen. Each has a cause you can act on before it costs you a quarter.
Thin tickets, filled in with guesswork
Distance punishes vague specifications harder than an office does. A ticket that says "add filtering to the orders screen" gets a room-based team a two-minute conversation and gets a distributed team a week of the wrong work. The fix is not more process. It is one round of written questions before an estimate, and a rule that nobody starts on a ticket whose acceptance criteria they cannot restate.
The database nobody looked at
An engagement scoped as feature work quietly becomes performance work, because the schema was designed for a tenth of the current data. This is worth finding in week one rather than month three. Any takeover we do includes a look at the largest tables, the indexes that exist against the queries that run, and how migrations have been managed. If that turns up something structural, you hear it as a finding, not as a delay in a sprint report.
Two conventions in one codebase
When a new team joins an existing one, the codebase can end up with two of everything: two validation styles, two ways to authorise, facades in half the files and injection in the other half. Nobody decides this; it accumulates. It is prevented by agreeing the conventions in the first week and writing them down, then holding review to them regardless of who wrote the code.
Key-person risk on a small engagement
One developer on an application for a year knows things nobody wrote down. That is efficient until they are unavailable. The mitigation is unglamorous and it works: decisions recorded in the repository, at least one other person reviewing regularly enough to stay oriented, and a runbook for deploys, queues and scheduled tasks that someone else could follow. We build that as we go rather than as an exit deliverable.
Environment drift between staging and production
Laravel applications are especially prone to this because so much behaviour is configuration. A queue driver set to run inline in staging, a cache driver that differs, a scheduler not running at all, a different PHP version. Every one of those hides a class of bug until production finds it. Staging should match production on engine and driver even where it does not match on size.
Communication that is polite instead of clear
This one is worth naming directly, because it is the complaint behind a lot of vague dissatisfaction with offshore teams. If raising a problem feels like admitting failure, problems arrive late and dressed up. What prevents it is a working culture where a blocker raised on day one is treated as competence, and a client who reacts to bad news early in a way that does not punish it. We do our half of that. The half on your side matters more than most buyers expect.
Ways to Engage
Three shapes, chosen by how much of the application you want someone else holding. Scope, overlap window and terms are agreed with you before work starts rather than published here. One term we are happy to publish here: an engineer who is not the right fit is replaced within 48 hours, and you get to choose the replacement from several Laravel developers rather than accept whoever arrives next.
A Defined Piece of Work
A version upgrade, a performance investigation with a written finding, a Filament admin panel, or moving a synchronous flow onto queues. Suits a team that knows what it wants and has nobody free to do it.
- Scope written down before we start
- Findings shared as they are found
- Handover notes as a deliverable
A Laravel Developer on Your Team
A named engineer working your backlog, in your repository, on your standup, at an overlap window agreed in advance. The usual answer when the application is going to keep changing.
- Your tracker, your branching model
- Written end-of-day handover
- Queue and deploy runbook kept current
A Squad Around the Product
Laravel developers with a front-end engineer for the Livewire or Inertia layer, plus QA and someone owning the pipeline. For roadmaps that need more than one pair of hands moving at once.
- Shaped to the roadmap, not to a template
- Conventions agreed in week one
- Review discipline held across the team
Not sure Laravel is the right frame for the problem? The broader hire developers in India page covers how we staff across stacks when a project needs more than one.
Frequently Asked Questions
Our Laravel app has got slow. Can a developer fix that without a rewrite?
Usually, yes. Most slow Laravel pages are one loop issuing a query per row, or an index that does not match the where and order clauses the page actually uses. Both are fixable in place. The first job is measurement: query count and time per request, captured with Telescope, Debugbar or Clockwork, then EXPLAIN on the two or three queries that dominate. A rewrite proposed before that measurement exists is a guess.
Should we build on Livewire or Inertia?
It depends on where your users sit and what your team can maintain. Livewire keeps everything in PHP and Blade, at the cost of a network round trip for interactions, which shows up badly when users are far from the server. Inertia hands rendering to Vue or React while Laravel keeps routing, validation and authorisation, which needs a genuine front-end skill on the team. Pick the one you can staff.
What happens when a queued job fails in production?
It retries until the attempt limit set on the job is reached, then the payload lands in the failed jobs table with its exception, where it can be inspected and pushed back through. The trap is the relationship between the worker timeout and the queue retry_after value. If retry_after is shorter than the timeout, a slow job gets picked up a second time while the first copy is still running.
How much work is it to upgrade an old Laravel application?
The framework itself is the easy half. Laravel publishes an upgrade guide per major version and much of it is mechanical. The cost sits in third party packages that stopped being maintained, in vendor views and config files that were published and then edited, and in the absence of tests to prove the application still behaves. Budget by counting your abandoned packages, not by counting version numbers.
Can you build our internal admin screens with Filament instead of hand-building them?
Where the requirement is genuinely records, filters, roles and forms over Eloquent models, yes, and it saves weeks. Filament is open source and built on Livewire; Nova is first party and paid. Both stop being cheap the moment the workflow stops looking like CRUD, because bending a panel package past its shape costs more than writing the screen. We say which side of that line your requirement falls on before starting.
Do your Laravel developers write tests, and what do they test first?
Yes, with Pest or PHPUnit depending on what the codebase already uses. On an inherited application the first tests go around money, permissions and whatever caused the last incident, as HTTP feature tests that exercise a real route through to the database. Full coverage on a legacy codebase is a project in itself and rarely the right first spend.
We are on US Eastern time. How much overlap do we actually get?
None on an ordinary Indian day. India sits at UTC+5:30 and skips daylight saving entirely, which puts a working day of 09:30 to 18:30 at 04:00 through 13:00 in UTC. A New York morning begins at 13:00 or 14:00 UTC depending on the season. Getting a working overlap means shifting the Indian day into the evening. That is a staffing arrangement we agree with you in writing before anyone starts, not something that emerges.