Hire a Python Developer in India
Hire a senior Python developer in India — Django & FastAPI backends, REST APIs, automation, data pipelines, Celery jobs, and LLM integrations. Remote, IST.
Looking to hire a Python developer in India? I’m Kuldeep Pisda — a senior backend engineer and former startup CTO based in Bengaluru. Python has been my workhorse for 6+ years: the web backends and REST APIs that front real products, but also the automation, the ETL, the third-party integrations, and the glue that quietly holds a system together. If it can be scripted, scheduled, served, or synced, it’s usually Python — and I’ve shipped all of it, remote, on IST, for teams in the US, EU, and India.
What I build with Python
- Django and DRF backends — my deepest strength. Production Django REST Framework APIs, multi-tenant SaaS, and the PostgreSQL underneath, tuned to stay fast under real load. I wrote django-rls, a row-level-security library for tenant isolation.
- FastAPI services — async, typed, and lightweight, for internal APIs, webhooks, and AI/LLM endpoints where per-request concurrency matters more than a full framework. I pick the tool to fit the job, not the resume.
- Automation and scripting — the unglamorous work that saves a team hours a week: batch jobs, one-off migrations, report generators, cron tasks, and CLIs that turn a manual checklist into a single command.
- Data pipelines and ETL — moving data between systems reliably: extract from APIs and databases, transform and validate, load into Postgres or a warehouse, with idempotency and retries so a half-finished run never corrupts your data.
- Third-party integrations — payment gateways, auth providers (Keycloak SSO), CRMs, telephony, and vendor APIs, wired together with proper backoff, webhook verification, and reconciliation instead of hope.
- Background jobs with Celery — Celery on RabbitMQ with a queue per workload, so a slow report or a stuck sync never blocks a payment or a user request.
Experience you’re hiring
The proof I’d show first: Hindi semantic search on
pgvector, shipped in production on a
30,000-user learning platform. The search box “worked” but silently failed its
users — dhyan, ध्यान, and meditation are one intent in three scripts, and
Postgres full-text search can’t connect any of them — so I built hybrid search
(semantic vectors alongside keyword matching) inside the Postgres we already ran,
with an out-of-process Indic-SBERT embedding sidecar and no new vector database
added to the stack. That’s what my Python work looks like in general: the
pragmatic infrastructure call, a deliberately boring foundation, and a feature
that finally works for real users on mid-range Android phones. The rest of that
platform’s story is in the case studies. I speak at DjangoCon
US, DjangoCon Europe, and EuroPython, and I test what I ship — pytest and TDD
where it earns its keep.
How engagements work
Short, well-scoped engagements with a written plan and testable milestones — a fixed-scope build, an ongoing retainer, or a few hours of architecture review before you commit to a direction. Remote-first, async-friendly, based in India (IST), and used to overlapping with US and EU hours when it matters.
FAQ
Django or FastAPI — which will you use? Whichever fits. Django when you want batteries included: admin, ORM, auth, and a mature ecosystem for a full product. FastAPI when you want a lean async service — webhooks, internal APIs, or LLM endpoints where concurrency and typing matter more than a framework. I’ll recommend one and explain the trade-off, not default to a favourite.
Do you do fixed-scope projects or ongoing work? Both. Some clients want a defined deliverable shipped; others want a senior Python hand on retainer for whatever the week throws up.
What does it cost? Most engagements start with an audit of your Python codebase and its data layer at ₹2,00,000 + GST — written findings with ranked fixes in 7 calendar days, plus a 60-minute walkthrough call. Fixed-scope builds are quoted in writing after the audit, and the audit fee is credited toward any build started within 60 days. If you just need a quick call on a specific decision, a second opinion is ₹30,000 + GST — one 90-minute call and a written recommendation within 48 hours. Pricing shown is for India-registered companies; international clients are billed in USD — see services.
Are you available for international clients? Yes — I work remotely with clients in the US, EU, and India, and structure hours to overlap when a project needs it.
Can you work with an existing codebase? Absolutely. A lot of my work is improving, scaling, or migrating existing Python apps — untangling a slow endpoint, adding a data pipeline, or replacing a fragile integration — not just greenfield builds.
Do you handle AI and LLM work in Python? Yes. Python is where most of my AI glue lives: multi-LLM orchestration, RAG and pgvector semantic search, and voice/SMS agents, all on backends built to stay up. If AI is the focus, see hire an AI engineer in India.
Let’s talk
Tell me about your project and timeline — get in touch, or grab a time below:
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