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
I’ve scaled a Python platform past 30,000 users on a non-profit budget, rebuilt a headless-CMS product onto Django without a big-bang rewrite, and stood up multi-LLM AI features — Claude, GPT-4o, Gemini, and Perplexity behind one unified layer — on the same backends. The case studies walk through the actual decisions and trade-offs, described by role since the clients are under wraps.
The stack under all of it is deliberately boring and load-bearing: Django/DRF and FastAPI, PostgreSQL with pgvector, Celery/RabbitMQ, Keycloak for auth, and AWS provisioned with Terraform. I’ve done founding-SRE work and taken a product through SOC 2. 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.
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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