Hire a Django REST Framework Developer
Hire a Django REST Framework (DRF) developer for production REST APIs — serializers, viewsets, auth, versioning, pagination, and query performance. Remote, senior, ex-CTO.
Need to hire a Django REST Framework developer to build an API other teams can actually depend on? That’s most of what I do. I’m Kuldeep Pisda — a senior backend engineer and former startup CTO in Bengaluru who has shipped DRF APIs powering web apps, mobile clients, and third-party integrations for 6+ years, remote, with teams across the world.
What I build with DRF
- Clean serializers — nested writes, validation that lives in one place, and sparse-fieldset patterns so a mobile client and a dashboard can hit the same endpoint without over-fetching.
- Viewsets and routers that stay readable — the right mix of generic views,
mixins, and plain
APIViewwhere the generics stop helping, not a wall of copy-pasted CRUD. - Auth and permissions — token/JWT/session auth, Keycloak and SSO integrations, and object-level permissions that don’t leak one tenant’s data into another’s response.
- Versioning without breakage — evolving an API while the clients already in production keep working.
- Throttling, pagination, and filtering — cursor pagination for large sets, sane rate limits, and filter backends that map to real indexes.
- Self-documenting APIs — OpenAPI/Swagger schemas generated from the code so the docs never drift from reality.
I’ve taught this at DjangoCon
At DjangoCon US 2022 I led a three-and-a-half-hour
tutorial
on serving REST APIs with DRF — permission control, role-based responses,
customizing the Django admin, and testing with pytest, factories, and Faker — so
the patterns I’d use on your API are ones I’ve had to explain to a room of Django
developers. In production, the same discipline shows up as dynamic API fields
and query optimization:
sparse fieldsets so a mobile client and a dashboard hit one endpoint without
over-fetching, and the N+1 storms hiding inside SerializerMethodFields hunted
down with query logging and real Postgres indexes — one course-list endpoint went
from 900+ queries per request to a handful. A DRF endpoint is only as fast as the
queries behind it, and I fix the query rather than bolting a cache onto a bad one.
How engagements work
Well-scoped work with a written plan and testable milestones: a greenfield API, a refactor of one that’s grown unwieldy, or a few hours reviewing serializer and permission design. Remote-first, async-friendly, IST, comfortable overlapping US and EU hours.
FAQ
Can you work on an existing DRF codebase? Yes — a lot of my work is untangling APIs that grew fast: fat serializers, permission logic scattered across views, and endpoints that got slow.
Do you build the frontend too? I focus on the API and the PostgreSQL behind it, and design endpoints around what the client actually needs. I work well alongside frontend teams.
Can you version our API without breaking clients? Yes — that’s a common reason people call. I’ll design a migration path that keeps existing clients working while the new shape rolls out.
Do you write tests? Yes — pytest and factory_boy, TDD where it earns its keep. I’m a DjangoCon and EuroPython speaker on testing Django.
DRF, async views, or Django Ninja? I’ll advise on when async or Django Ninja is worth it versus staying on classic DRF — it depends on your workload, and I’ll be honest about the trade-off.
What does it cost? Most builds start with a $4,000 audit — written findings with ranked fixes in 7 calendar days plus a 60-minute walkthrough call — and I then quote the build itself in writing, with the audit fee credited if we start within 60 days. If you first want a sanity check on one decision, a second opinion is $500: a 90-minute call and a written recommendation within 48 hours. All prices in USD plus GST where applicable, and you’ll always have the cost in writing before we start.
Let’s talk
Tell me about the API you’re building — get in touch, or grab a time below:
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