Python developers matched to the role, not just the syntax.
Python placements cover wildly different work shapes — Django web backends, FastAPI service tiers, ML pipelines (NumPy/Pandas/PyTorch/scikit-learn), data engineering (Airflow/dbt/Spark), automation scripting. sourceBOLD screens every applicant against your role, so a Django backend role and an ML-pipeline role are matched on different things. Then we meet each candidate, contact their references and review their code before you see them. If the role is mainly data engineering, data science or machine learning, it is priced as a data role.
Screened for your role, then met by us.
Every applicant answers questions about their skills, experience and how they like to work, and is ranked against your role. Only the applicants who come through screening move on to our review.
We meet every candidate before you do and check their English, so you know they can hold their own in your standups and code reviews. We also confirm their Python experience is what they say it is.
We contact their references and review their code, so you aren’t taking their résumé on trust.
3.9% of applicants make it through screening and our review. The full process is in how we vet candidates.
Week 1 — shipping by Friday.
- DAY 1Repo access, local environment running, dependencies installed, SOW kickoff doc reviewed. Standup attendance starts on day one.
- DAY 2–4Picks up a contained bugfix or self-scoped backend ticket — typically something that exercises the test suite and the deployment path so the developer gets end-to-end context fast. Your tech lead reviews the PR.
- DAY 5First feature ship — typically a backend endpoint, a data-model addition, or a pipeline step depending on the stack. Touches the test suite so the next week’s work has shared context.
- WEEK 2+Real feature work. Integrates into the standup and code-review rotations. Treated like a full member of the team — because that’s what they are.
The contracting layer sits underneath all of this. From your team’s day-to-day, the developer is a Python contractor in Slack and on PRs. The cross-border tax shape, the bi-weekly invoice cycle, the cross-border payout to the developer — those are sourceBOLD’s operational concerns, not your team’s.
Side-by-side, where each model fits.
Pick by the situation, not by the pitch.
- Pick in-house if you need a full-time Python engineer with benefits, equity, and an at-will employment relationship.
- Pick a US-based contractor if you need US-only data residency (HIPAA / FedRAMP / regulated workloads) or a very short engagement (under four weeks).
- Pick sourceBOLD if you need mid-level or senior Python capacity on month-to-month engagement, with published pricing and 4–8 hours of US time-zone overlap. For data engineering, data science or ML work, see our data roles.
Scale your team.
Surge ahead.
One intro call, no sales pitch. Pre-vetted finalists, not a stack of résumés. First standup in weeks, not months.