Hire Django developers
who already know where the bodies are buried.
A dedicated developer, or a pod, who can open a Django app, read its models and migrations, and extend it the way its original author would have wanted, not the way a rewrite would prefer. Vetted against a real Django codebase before they ever touch yours, working inside your repo and your stand-ups, and scaling up or down monthly without a hiring cycle. You interview the actual developer and ask about your models directly before anything is signed.
Interview before signing · Scale monthly
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Work together on a real brief for up to 14 days, then decide whether to scale.
Hiring a Django developer through PixelCrayons gets you a vetted engineer inside your codebase. They work in Django as it already exists in your app: its models, its migrations, its admin, its app boundaries, extending the ORM, the API layer and the background-task setup without rewriting what already works, in your tools, with a named coordinator and an escalation contact behind them. You interview the actual developer first, scale the engagement monthly, and skip a full recruiting cycle a codebase this specific can't afford to sit through. Delivery since 2004 stands behind the bench.
Judge the record,
not the adjectives.
Outcomes tied to real engagements, not averages.
Rates for brands and companies buying for themselves.
Django skills,
commercially wired.
Not a generalist who's shipped one Django tutorial. A specialist whose job is the app itself: how its models relate, what depends on what, and whether the next developer can extend it without a handover call.
Core Django engineering
- The ORM and migrations: schema changes written to run against a live table, not just a fresh one
- The Django admin configured as a real internal tool (permissions, list filters, inlines), not left at its defaults
- Class-based views used where they earn their keep, function-based where they don't
- Django REST Framework: serializers, viewsets and permission classes that match your actual auth model
- App structure kept legible as the codebase grows, instead of one app that quietly becomes the whole project
The surrounding stack
- PostgreSQL schema design, indexing and query performance, including the queries the ORM hides from you
- Celery and Redis for background jobs, scheduled tasks and anything too slow for a request-response cycle
- Caching applied at the layer that's earned it (view, template fragment or query), not everywhere by default
- Deployment discipline: WSGI or ASGI, static and media handling, environment config that doesn't leak a secret into a repo
- Settings kept sane across dev, staging and production without silent drift between them
The commercial layer
- Working inside an existing Django app responsibly, its conventions, not a rewrite
- Testing discipline: Django's test client and fixtures, factories over fixtures where it matters, coverage that means something under review
- Security patching and CVE hygiene: Django's own security releases tracked and applied, not discovered during an audit
- Code review as a habit, not a gate wheeled out before release
- Estimates that hold, and saying early when they won't
What a Django developer
works on between releases.
The day-to-day of the role, what separates a strong hire, and what they need from you to be useful in week one.
A typical week in the app
Feature work sits alongside the maintenance nobody schedules. A new model field, its migration and the DRF serializer that exposes it. A Celery task that has started timing out because the table it reads has grown. A slow admin list view traced to a missing select_related. A Django security release applied, tested and deployed before it becomes urgent. Pull requests stay small enough to review in one sitting, and anything touching a migration carries a note on how it runs against production data and how it rolls back. The rest of the week goes on reading code before changing it.
Interview questions that separate candidates
Show them a short view and template and ask them to find the N+1 query. Strong candidates spot it quickly and explain when select_related fits and when prefetch_related does. Ask when they would use a signal and when they would avoid one; good answers mention how signals hide behaviour from the next reader. Ask what belongs in settings and what belongs in environment variables. Ask how they would split a schema change so a deploy never waits on a long lock. Good Django developers talk about the SQL the ORM generates, not just the Python they write.
Have this ready for the first day
Repository access, a local setup that actually works (a Docker Compose file or a written guide), and a copy of production data with personal details scrubbed, because many Django bugs only appear on real data. Add read access to error tracking such as Sentry and to whatever monitors the Celery queues. Tell them which Django and Python versions you run and whether an upgrade is planned. Name the person who approves migrations to production. If none of this exists yet, making it exist is a sensible first task, and it pays back for every developer who joins after them.
When Django isn't the question
If your app is mostly a thin API in front of heavy async or real-time work, a Python developer comfortable with FastAPI may fit better, and our Python developers page covers that. If the pain is the interface, a React or frontend developer will move it faster. If the plan is to rewrite the app in a different framework, hire for where you are going, not where you are. A Django developer is the right call when the models, the admin and the migrations are where the value lives, and you want them extended rather than replaced.
Brief to embedded,
interview before signing.
Brief & shortlist
You describe the app, the Django version and the gap; we propose the developer, or pod, whose actual delivery history fits it. No generic CVs.
Interview them
You meet the real person who'd touch your models and migrations, not an account manager narrating their GitHub history on their behalf. Ask anything technical, including how they'd handle a migration against a live table; if the fit isn't right, we propose again.
Inside your repo
Repo access granted, the models, migrations and app structure reviewed, your stand-ups joined.
Scale either way
Bring in a second Django developer as the backlog grows; drop back to one when it shrinks. Team size is reviewed monthly, so Django capacity moves without a headcount decision.
Requests, approvals and the weekly review for this engagement live in your Prism workspace. Each decision is recorded against the outcome it expected. See how Prism runs an engagement →
Meet the actual people before anything is signed
The person,
plus the system.
Hire Django developer talent alone and you get their skills. Hiring through a delivery organisation gets you an app that stays maintainable even when the person who wrote the last migration is out.
Vetted on a real Django app, not a puzzle
Every developer on the bench has shipped Django services before yours. Those services met our own delivery standards before the developer joined any client codebase. Migrations, admin work and DRF endpoints are reviewed weekly, held to the same standard you'll see. A whiteboard exercise doesn't show you how someone writes a migration against a live table; we'd rather read the migrations they've actually shipped.
A second developer who already knows the migration log
A named coordinator, an escalation contact and a named colleague ready to cover the codebase. Briefed on your app from day one, following the model notes and migration log the first one keeps. Leave or a departure means they step in without a ramp-up, even mid-incident. A solo freelancer has nobody to hand that context to; a first in-house hire needs a whole team built around them before there's a backup at all. One Django developer, with a review system checking their work.
Team integration, not a portal
Your Django repo, your stand-ups, your issue tracker, and your email domain if you'd like it. Dedicated means they work inside your repo and your sprint rhythm, not a separate queue your tickets vanish into.
Quality governance you can audit
A weekly review in Prism, written up and tied to the sprint, pull requests reviewed against a documented standard, and every migration and dependency bump logged with a reason. If you ever question what the month bought, the migration log and review notes answer before we have to.
How you typically hire,
versus through us.
An in-house hire is still right when the Django app is permanently full-time and central to your organisation, and we'll say so when it is. This is for every other case.
| Hiring it yourself | Through PixelCrayons | |
|---|---|---|
| Time to a productive developer | A full recruiting cycle: sourcing, interviews, notice periods, onboarding | Eligible engagements can typically start within two to three business days after scope, payment and required access are confirmed |
| Vetting | CV screening and a take-home exercise: you find out the truth on the job | Delivery history on real Django services under our own standards, reviewed weekly |
| Management overhead | Yours entirely: objectives, review, development, coverage | A named PM and escalation path included; you set the sprint priorities, not the admin |
| Scaling | A new hiring cycle each direction: months up, severance down | Resize monthly: add a developer ahead of a bigger migration, step down once it's shipped |
| Risk when it doesn't work | A mis-hire costs velocity until it's caught, a migration history nobody wants to untangle, and a difficult exit | Propose-again is built in; leaving takes a handover call, not a negotiation |
A migration that didn't lose a single record.
When a D2C fragrance retailer had outgrown its storefront, the real risk was years of catalogue, order and customer history. Everything was inventoried and mapped before a single table moved, nothing switched off until its destination was verified. Zero data loss was the contract, not the aspiration: the same discipline a Django migration written against a live database demands. The full case study leaves the migration decisions and the hard parts in.
Read the case study →Our commitments
Each one says where it applies and links to its full terms.
14-Day Risk-Free Trial
For eligible managed specialists. Up to 14 calendar days or 80 logged working hours, whichever comes first. End within the trial and pay nothing for eligible trial hours. Continue beyond it and those hours are billed at the agreed rate. Unpaid trial work remains ours if you stop.
Eligible managed-specialist roles only, one trial per customer. Not offered for AI, chatbot, prompt, automation, API-integration or QA work. Brand and graphic designers, brand strategists, video editors, content writers, copywriters and content marketers start with a paid pilot.
Full termsTime-zone overlap
At least four hours a day inside your core working hours. Two hours plus a daily written handover for the US West Coast.
Managed specialists only; not a staffing promise for project teams.
Full termsClear IP & Ownership Terms
Your materials remain yours. Bespoke deliverable rights, licences and handover are agreed before work starts.
All engagements.
Full termsClear Delivery & Escalation Ownership
Know who coordinates your engagement, who owns the work and how to escalate an issue.
All engagements. Roles may be combined and vary with your engagement.
Full termsQuestions buyers ask before they commit
Why not just hire a freelancer?
A freelancer can be the right choice for a single, well-defined task. We are set up for work that needs an accountable team: a named coordinator, delivery reviewed by QA and a senior lead before release, and continuity arrangements written into the engagement. Confidentiality, ownership and escalation terms are agreed in writing before work starts.
How does time-zone overlap work?
Your engineers work at least four hours a day inside your core working hours. We set the window with you before the engagement starts and hold it for as long as the engagement runs. For the US West Coast the live overlap is two hours each morning, with a written handover at the end of every Indian day. We do not run night shifts: engineers who work nights leave quickly, and keeping the same people on your team matters more to us than a longer overlap.
Can we try you before we commit?
For eligible managed specialists, yes: up to 14 calendar days or 80 logged working hours, whichever comes first. End within the trial and pay nothing for eligible trial hours; continue beyond it and those hours are billed at the agreed rate, and unpaid trial work remains ours if you stop. For project work, and for roles outside the trial, we offer a paid pilot with its scope, acceptance criteria, duration and fee agreed before it starts.
What if we want to stop?
Cancellation, notice and any renewal terms are written into your proposal or statement of work before you accept it. If an engagement ends early, we hand over completed, paid-for work and list any unfinished work separately. For an eligible specialist trial, you can stop within the trial window and pay nothing for eligible trial hours.
How we handle claims, credentials and your data: group credentials, dated ratings, how case figures are signed off, client permissions and data handling.
Frequently
asked.
Once we have a complete brief, we confirm the date you will receive your proposal. The shortlist follows within days; you interview the developer the same week, ask to see real Django code they've shipped under NDA if you want to. Eligible engagements can typically start within two to three business days after scope, payment and required access are confirmed. If your app has an ageing Django version or an undocumented migration history, and most do, expect the first few days to prioritise reading before shipping.
Short and sequenced: NDA first, then repo and environment access, a review of your models, migrations and app boundaries with a written summary of what they found, and agreement on the first sprint's priorities before anything ships. From week one they sit in your stand-ups, so onboarding to the codebase runs inside your process instead of alongside it.
Every pull request is reviewed against a documented standard before it's proposed to you, and the weekly review in Prism covers what shipped, what's in progress, and what's blocked, with sprint velocity beside the actual diff, not a vague status line. Migrations get the same scrutiny as application code, since they're the part of a Django app that's hardest to undo. If you run your own review process, they work inside it; if you don't have one yet, we bring ours.
One is the normal starting point: a single Django developer covers most application backlogs comfortably. A second pair of hands (a DRF specialist, a QA engineer) joins when scope genuinely justifies it, and the monthly resize works in both directions. One well-kept Django backlog seldom needs a whole pod behind it.
Flag it early and we propose another Django developer, with no awkward negotiation needed. The replacement inherits the documentation the first developer kept (model and app-structure notes, migration decisions, open threads), so a switch costs days, not a restart. And if the conclusion is that you need a different shape of help entirely, a fixed-scope project, not a person, we'll route you there instead. Who that second Django developer is, and whether their cover is part of the monthly rate, is written into the proposal.
Yes, when that's the better shape. A dedicated developer suits an ongoing backlog inside an app you'll keep extending. A fixed-scope piece of work often runs better as a project, and we'll route you there instead. We'll say which fits on the first call.
Interview the person,
not the pitch deck.
Brief us on the app and the gap, get a shortlist within days, and meet the actual developer before anything is signed. If what you really need turns out to be a project rather than a person, we'll say so on the first call.
Interview before signing · Scale monthly
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