How does your resume hold up for a Python Developer role?
Paste a Python Developer posting and your resume. Get the score, the gaps, and what this role's ATS screens actually check for.
Python resumes get marked down for the same handful of gaps — no framework named, no testing mentioned, database work described in one vague line. The language itself stopped being the differentiator years ago; almost every backend candidate lists it, so an ATS and the recruiter reading after it are both scanning for what you built with it, not that you know it. Check yours against a real posting and see exactly which of its requirements your resume currently backs up, and which it only implies. That gap shows up whether you're applying to a startup shipping a monolith or a company running a service mesh — the specifics differ, but the resume that names them either way is the one that reads as credible.
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What this role's postings ask for
- Python
- Django
- Flask
- FastAPI
- REST API
- PostgreSQL
- Docker
- AWS
- pytest / unit testing
- Git
- CI/CD
- asyncio
- SQLAlchemy
- Celery
- Kubernetes
See how often each of these actually appears in live postings →
Common mistakes on resumes for this role
- Listing "Python" as a bare skill with no framework, library or project attached — recruiters can't tell if you built APIs or ran scripts, and neither can an ATS keyword match that only sees the bare word.
- No mention of testing (pytest, unittest, coverage). A Python resume without tests reads as junior, regardless of years listed, because shipping without a test suite is the exception in most Python teams now, not the norm.
- Database work summarized as "used SQL" instead of naming the engine and what you did with it — schema design, query tuning, migrations, indexing decisions under load.
- Bullets describe responsibilities ("responsible for backend development") instead of what shipped and its effect — a responsibility isn't evidence, an outcome is.
- No deployment or infra context — most Python roles now expect at least Docker and one cloud provider on the resume, even for roles that aren't formally DevOps.
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Weak vs. strong
Weak Responsible for backend development using Python.
Strong Built a FastAPI service handling 40K daily requests, cutting p95 latency from 800ms to 220ms with async I/O and Redis caching.
What "evidence" means for this role
For a Python resume, "evidence" means the requirement is answered with something a reader can picture running in production: the framework named, the scale it ran at, what changed because of it. "Experienced with Python" doesn't evidence anything — it's a claim with nothing under it. "Built a FastAPI service handling 40K daily requests" evidences three things at once: the framework, the traffic it handled, and that you can talk about scale. When SteadyCV checks your resume against a posting, this is exactly what it's separating — requirements the posting names that your resume backs up with something concrete, versus requirements it only gestures at. The same logic applies to library choices you didn't build from scratch — using Celery well and describing the queue design you configured is evidence; listing "Celery" next to fifteen other tools is not.
A closer look at the requirements that matter most
- Django / Flask / FastAPI
- Postings rarely just want "a framework" — they want the one they already run, because ramp-up time is the actual cost they're pricing in. Naming the wrong one isn't fatal, but naming none at all reads as scripting experience, not application development. If you've touched more than one, say which you're strongest in and why, rather than listing all three with equal weight.
- pytest / unit testing
- Testing discipline is one of the few signals in a resume that correlates with actual senior-level judgment, which is why it's screened for even in postings that don't spell out a coverage number. A single line — the framework you used and roughly what you covered (unit vs. integration, coverage percentage if you tracked one) — does more for a Python resume than another bullet about a feature shipped.
- Docker / Kubernetes
- Even roles titled purely "developer" increasingly expect you to have shipped your own code somewhere yourself, not handed it to a separate ops team. Docker is close to a baseline expectation now; Kubernetes specifically signals you've worked at a scale where a single server isn't the whole story. If you've only used Docker for local dev, say that precisely rather than implying production orchestration experience you don't have.
- PostgreSQL / SQLAlchemy
- Database work is where a lot of Python resumes go vague, because "used SQL" is technically true and says nothing. If you worked with SQLAlchemy specifically, that's worth naming over generic "database experience" — it signals ORM-level work, not just writing the occasional query, and postings that name it are usually looking for exactly that distinction.
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