When APIs, background jobs, or data services are on the critical path, the right Python engineers matter. We place developers who already ship FastAPI, Django, Celery, and PostgreSQL in production — then join your repos, ceremonies, and release process from day one.
Our approach
We start with your business need, not a keyword list. Your stack, seniority band, engagement model, and timeline shape the shortlist. Each profile is screened for production ownership, communication fit, and the tools your team actually runs. You interview only candidates who can contribute in your environment.
Skills we staff
Profiles are matched to the Python tools in your stack.
- FastAPI — REST and WebSocket APIs, OpenAPI specs, async services
- Django — Admin apps, auth, ORM work, and database migrations
- Celery — Background workers, retries, Redis or RabbitMQ queues
- Alembic — Versioned schema migrations for production releases
- SQLAlchemy — Query work, connection pools, and N+1 review
- Redis — Caching, rate limits, and Celery broker setup
- pytest & typing — pytest suites and mypy or pyright in CI
- Pydantic & settings — Request validation and typed env config
- PostgreSQL & async drivers — asyncpg or psycopg3, pools, transactions
Outcomes teams see
- 5+ years — Average production Python experience on placements
- 2–3 weeks — Typical ramp to first merged PR
- 90%+ — Engagements retained past six months
- Weeks, not quarters — Common path to core API contribution
Next step
Tell us the stack, seniority, and start date. We align contract, contract-to-hire, or permanent before you interview — and send a shortlist built for how your team ships.