Dedicated Python engineers
Hire Python developers who ship production APIs and data pipelines
Grape5 places pre-vetted, India-based Python developers dedicated to your product: engineers who build FastAPI and Django backends, Celery task queues, and data pipelines that survive real traffic. A Rorko Group company since 2011, we vet, manage, and back every hire, with at least 4 hours of daily US overlap and a free replacement if the fit is wrong.
In short
Grape5 places pre-vetted, India-based Python developers dedicated to your product: engineers who build FastAPI and Django backends, Celery task queues, and data pipelines that survive real traffic.
A Rorko Group company since 2011, we vet, manage, and back every hire, with at least 4 hours of daily US overlap and a free replacement if the fit is wrong.
When to hire Python developers
- Your Django or FastAPI backend is slowing down as you grow, with endpoints timing out and N+1 queries stacking up, and you need someone who can profile and fix it without a full rewrite.
- You need ETL and data pipelines built in pandas and Airflow to feed a warehouse, because your analysts are stuck exporting CSVs and stitching them together by hand.
- Your data science team trained a model in PyTorch or scikit-learn and needs it wrapped in a reliable inference API with batching, versioning, and monitoring.
- You are moving off a legacy Python 2 or Flask monolith and want background jobs on Celery and Redis instead of cron scripts that silently fail at 3am.
How we vet Python developers
Every engineer we put forward is screened by a senior Grape5 engineer before you meet them. For Python developers, we look specifically at:
- Whether they use async correctly: knowing when asyncio and ASGI actually help versus when the GIL and blocking calls make it pointless, and never dropping a blocking DB call into an event loop.
- How they handle ORM performance: spotting N+1 queries in the Django ORM or SQLAlchemy, using select_related, prefetch_related, or joinedload, and reading an EXPLAIN plan when a query drags.
- Dependency and environment discipline: pinning with Poetry or pip-tools, real virtual environments, and understanding how an unpinned transitive dependency breaks a build.
- Testing habits: pytest fixtures, mocking external services, and meaningful assertions instead of tests that only cover the happy path.
- Reliability in background work: type hints checked with mypy, plus Celery tasks written with retries and idempotency so a failed job does not vanish.
Grape5 vs a freelancer marketplace
Grape5
- Who the engineer works for
- Vetted, dedicated, and backed by Grape5 for your engagement.
- Vetting
- Screened by our own senior engineers, code, system design and communication, before you ever meet them.
- Timezone
- 4+ hours of daily overlap with your US working hours, in your tools and standups.
- If it isn't working
- We replace them from the bench, usually within days, at no extra cost.
- Continuity
- The same team, retained and growing with your product.
A freelancer marketplace
- Who the engineer works for
- An independent contractor juggling several clients at once.
- Vetting
- Self-reported skills, a résumé and a star rating.
- Timezone
- Whatever hours the contractor decides to keep.
- If it isn't working
- You re-post the role and start the search from scratch.
- Continuity
- Churn between contracts, the context leaves when they do.
| Grape5 | A freelancer marketplace | |
|---|---|---|
| Who the engineer works for | Vetted, dedicated, and backed by Grape5 for your engagement. | An independent contractor juggling several clients at once. |
| Vetting | Screened by our own senior engineers, code, system design and communication, before you ever meet them. | Self-reported skills, a résumé and a star rating. |
| Timezone | 4+ hours of daily overlap with your US working hours, in your tools and standups. | Whatever hours the contractor decides to keep. |
| If it isn't working | We replace them from the bench, usually within days, at no extra cost. | You re-post the role and start the search from scratch. |
| Continuity | The same team, retained and growing with your product. | Churn between contracts, the context leaves when they do. |
Related roles you can hire
Pre-vetted engineers across adjacent skills, dedicated to your product and your US working hours.
Frequently asked questions
Python spans web backends, data pipelines, and ML, but those are different crafts. A strong FastAPI engineer is not automatically a good ML engineer. Tell us the actual work and we match to it, and we will say plainly on the call where a role needs a specialist instead of a generalist.
Senior Grape5 engineers run a live session covering code, system design, and communication. For Python we probe the parts tutorials skip: async versus threading tradeoffs, ORM query behavior, packaging and virtual environments, and how they debug a slow endpoint under load.
The GIL limits CPU-bound threading, not most web workloads, which are I/O-bound and scale fine with async or multiple workers behind gunicorn or uvicorn. We check that candidates know the difference and reach for multiprocessing, a task queue, or a different tool when a job is genuinely CPU-bound.
Every engagement includes at least 4 hours of overlap with US working hours, which covers standups, live debugging, and code review. The developer is dedicated to your product for the engagement, not split across several clients at once.
You get a free replacement. The engineer is vetted, dedicated, managed, and backed by Grape5, so a wrong fit is our problem to fix, not yours to absorb. A typical first start lands in about 2 to 3 weeks.
Tell us the role. Get vetted profiles.
Send us the seniority and stack you need. We’ll come back with a shortlist of vetted Python developers who’ve shipped it, and a plan to start in 2 to 3 weeks.