Parvessh Agarwal
Founder & CEO
An entrepreneur at heart. He links business analysis, strategy, clear goals and ROI to practical technology.
LinkedIn →Hire Python developers
with one contact from brief to delivery.
PixelCrayons is your point of contact for hiring Python and Django developers. We scope the role and write the proposal. Our sister company ValueCoders then finds and supplies the Python engineer, or a small team. They work under that same proposal and account team. You meet the real developer and sign one agreement.
Interview before signing · One contact throughout
Tell us about the role
Start Your Enquiry
Send a short brief. Once we have a complete brief, we confirm the date you will receive your itemised proposal.
What you get
PixelCrayons is your point of contact for hiring Python developers, sourced and delivered by our sister company ValueCoders. Brief us once on the framework, such as Django or FastAPI, and the gap. Then interview the proposed developer before anything is signed. PixelCrayons handles escalation, billing and status, so you never manage two suppliers.
- Vetted on real Python deliveryEvery engineer we propose has shipped live Python and Django services, vetted against ValueCoders' delivery standards.
- One point of contact for everythingPixelCrayons scopes the role, writes the proposal and handles escalation, billing and status. ValueCoders develops.
- Interview before you signYou meet and question the assigned Python developer, and can ask for a different proposal if they're not right.
Our work
See what we've built
and the results it brought.
Real projects for real clients, with results we can show.
2004
Established
500+
Agencies served
4,500+
Projects delivered
340%
Revenue growth · 7 months
eCommerce
+127%
Organic traffic · 5 months
SaaS
85%
Faster delivery · backlog cleared
via agency partner
Where the work happens
What they cover
Python and Django skills
for services that run reliably.
Engineers are vetted on their track record with real Python and Django services, not a whiteboard puzzle. They come from ValueCoders' team and are matched to your gap.
Core Python skills
- FastAPI and general Python services, matched to what your codebase already uses
- Async code with asyncio and background workers, used only when running tasks in parallel really helps
- Testing with pytest, fixtures and mocks, with test coverage that holds up in review
- Dependency management with Poetry or pip-tools: repeatable setups and pinned versions that don't go stale
- Type hints and static checks with mypy and ruff, so the code catches its own mistakes
Django
- Django ORM, migrations and model design that don't lock a live table
- Django REST Framework for API-first builds, versioned and documented as it grows
- Django's admin, login and permissions system, extended rather than fought
- Celery task queues and Django caching for background and high-traffic work
- Upgrading and maintaining an existing Django codebase across major versions
Databases, APIs and data jobs
- Database design: PostgreSQL tables, indexes and query speed
- REST and GraphQL API design, versioned and documented as it grows
- Data pipelines and ETL (moving and cleaning data between systems), batch or streaming, chosen for the data
- Using AI and ML libraries: calling and wrapping a model sensibly, not training one from scratch
- Message queues and background jobs with Celery and Redis that survive a retry
Working well in your team
- Working carefully inside an existing Python or Django codebase, not jumping to a rewrite
- CI/CD pipelines and careful releases, including the rollback plan
- Code review as a habit, held to a written standard
- Owning a service from ticket to live, including the boring parts
- Estimates that hold, and saying early when they won't
In practice
What a Python developer
actually ships, week to week.
Python covers web services, data jobs and glue code. Knowing which one you need shapes the whole hire.
Web services, data jobs or both
Python roles vary more than most. One developer spends the week on Django models, admin screens and REST endpoints. Another writes batch jobs that pull data from an API, clean it and load it into PostgreSQL overnight. A third wraps a machine learning model in a FastAPI service so the rest of the product can call it. All three are Python developers, with quite different habits. In the brief, say which of these you need most and which only now and then. Then the shortlist reflects the actual work, not just the language.
A typical week in Django
In an established Django project, expect a mix of feature work and upkeep. There might be a new model with a migration that must run safely on a large table. A Celery task might retry forever because an outside API changed its response. The operations team may want an admin view simplified. A Django or library upgrade may bring warnings to clear. Tests get written alongside each change, not after it. The developer should also watch query counts on slow pages. An innocent template loop can turn one request into a flood of database queries.
How to tell a strong candidate
Ask how they would add a required column to a large, busy table without downtime. Strong candidates describe doing it in steps. Add the column as optional, fill it in, then make it required. Ask how they spot an N+1 query problem, where a page runs one extra query per row. Ask what select_related and prefetch_related actually do. Ask about a background task that ran twice and what that broke. Then ask when they would choose FastAPI over Django. Good answers depend on the situation, and they say so. Be wary of candidates who treat type hints and tests as optional extras.
What goes wrong without clear rules
Python makes it easy to work quickly, which is also how codebases get messy. Business logic spreads across views, signals and model methods until nobody knows where a rule lives. Dependencies are installed without pinning, so last month's working build fails today. Scripts written for a one-off data fix quietly become part of the live system. Notebook code gets copied into services. A good developer pushes back on these habits. But they need a brief that values easy upkeep, and reviewers who hold them to it near a deadline.
Have these ready before day one
Check that the project installs cleanly from the lock file on a fresh machine, with the Python version stated. Write down how to run it locally, including the database, Redis or other services it needs. Arrange access to staging, error tracking, logs and the CI pipeline. If the work touches data pipelines, grant read access to the source systems. Explain which data is sensitive and how it may be handled. Share any past decisions about framework choice and the reasons. And name the person who approves database migrations before they reach the live system.
When a Python hire is the wrong fit
You may need a machine learning researcher to design and train new models. A general Python developer is then the wrong hire, even though both use the same language. The same goes for a data analyst who works mainly in notebooks and dashboards. At the other end, if the work is mostly front-end, a Python developer will spend too long outside their strength. Python developers are at their best building and maintaining services, APIs, integrations and data jobs. If your need sits at the edge of that, describe it honestly so the right profile is proposed.
How it works
How hiring works,
with one contact throughout.
Start
Brief and a call
We sign an NDA, and you describe the codebase, the framework and the gap to PixelCrayons.
Once the brief is complete
Proposal and interview
We confirm when your proposal will arrive. ValueCoders proposes the developer whose track record fits. You interview them on anything technical before anything is signed.
Your decision
You sign off
You confirm the scope, the payment and the access we need. Nothing starts before this.
Typically 2 to 3 business days later
The developer starts
They get code access, review your codebase's habits and dependency setup, and join your stand-ups.
Every month
Scale up or down
Add more Python capacity when the backlog grows, and scale back when it eases. The same PixelCrayons account team arranges it.
You make requests, give approvals and see the weekly review in your Prism workspace. Each decision is written down with the result it was meant to bring. See how Prism runs the work →
Get a Proposal
Meet the people who will do the work before you sign
Why through us
Why hire through us:
one contact and the right engineer.
PixelCrayons scopes the Python hire and manages your account. ValueCoders supplies the engineer. You get one contact and a well-matched developer, and it is always clear who answers for the work.
Vetted on real Python delivery
Every engineer we propose has shipped live Python and Django services before yours. They are vetted against ValueCoders' own delivery standards. A shipped Django codebase says more than a whiteboard session. It shows how someone got through a real dependency conflict, not how they solve a puzzle while watched.
One point of contact for everything
PixelCrayons scopes the Python role and writes the proposal. As your one account team, we then handle escalation, billing and status. ValueCoders' engineers do the development.
Interview before you sign
You meet the Python developer who would be assigned. You can question them on anything technical, including how they'd tackle your own service. If they're not the fit, you can ask for a different proposal.
ValueCoders named openly
This page names ValueCoders as the delivery team, and so does the rest of the engagement. Who writes your Python code is never made vague once you've signed.
Side by side
Hiring on your own,
compared with hiring through us.
Hiring in-house still makes sense when a Python role is permanent, full-time and central to your business. We'll say so plainly when that's you. 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 work can typically start 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 | A track record on real Python and Django services, checked against ValueCoders' own standards |
| Management work | All yours: sourcing, screening, onboarding and ongoing management | PixelCrayons' account team handles day-to-day contact; you review the work and set priorities |
| Number of suppliers | However many agencies or freelancers it takes to cover the gap | One proposal and one point of contact, whichever engineer is assigned |
| Risk when it doesn't work | A poor hire slows you down until it's noticed, leaves messy dependencies, then a difficult exit | If the fit is wrong, we propose someone else, who gets the design notes, not a blank repo |
Who is accountable
The people responsible
for your work.
Saundaraya Gupta
Technical Manager
Brings technical work, client updates and project management together, so work moves smoothly from brief to launch.
LinkedIn →Every engagement
A named coordinator and escalation contact
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.
Before you sign
Our commitments
Each one says where it applies and links to its full terms.
Time-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 termsWhy 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. Stop within it and eligible trial hours are free; continue and they're billed at the agreed rate. Unpaid trial work stays ours. Project work and other roles get a paid pilot with scope, acceptance criteria, duration and fee agreed first.
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.
Matching the work
Which Python developer you need,
and what to test each one on.
Python covers web services, data jobs and glue code, and the habits differ. Say in the brief which one you need most. ValueCoders then proposes against the work, and you test the candidate on that work.
| The work | Test them on | Red flag |
|---|---|---|
| Django features and upkeep: models, admin screens, REST endpoints, Celery tasks | A background task that ran twice, and what that broke. | Business logic spread across views, signals and model methods until nobody knows where a rule lives. |
| Data jobs: pull from an API, clean it, load it into PostgreSQL overnight | How they keep a one-off data fix script out of the live system, and how they handle sensitive data. | Unpinned dependencies, so last month's working build fails today. |
| A model wrapped in a FastAPI service the product can call | When they would reach for FastAPI instead of Django. | One answer for every case, or notebook code copied straight into the service. |
| Any of the three | How they treat type hints and tests. | Type hints and tests treated as optional extras. |
| Designing and training new models | Not this hire: brief for a machine learning researcher. | A general Python developer proposed because the language matches. |
No trial on this role. Name the person who approves database migrations before they reach production.
Questions
Frequently
asked.
ValueCoders, our sister company, employs them. PixelCrayons scopes the Python role, writes the one proposal and is your contact throughout. But the developer you interview and work with is on ValueCoders' team. We say so openly, here and for as long as the work runs, and never present them as ours.
Both. Django has its own section above because demand for it is common enough to name. That covers the ORM and migrations, Django REST Framework, the admin and login system, and Celery background work. If your codebase is FastAPI, async-first or a mix, the same brief covers that too.
Once we have a complete brief, we confirm when your proposal will arrive. You interview the developer before anything is signed. Real Python or Django code they've shipped is available under NDA if you ask. Eligible work can typically start two to three business days after scope, payment and required access are confirmed.
One account team handles the whole relationship. ValueCoders is named as the delivery company in the proposal. Escalation, billing and status reports stay with the PixelCrayons account team you signed with.
Tell PixelCrayons early, and ValueCoders proposes a replacement. The new developer gets the design notes and open tasks the first developer kept. So a switch costs days, not a restart.
Get one proposal
with the right engineer for the work.
Tell PixelCrayons about the codebase and the gap. We scope the role and stay your point of contact throughout. Our sister company ValueCoders delivers the engineer under a written proposal. You interview the actual person before anything is signed.
Interview before signing · One account team
Last updated