- 01Why Most Python Job Descriptions Fail
- 02Required vs. Nice-to-Have Python Skills
- 03The Full Python Developer Job Description Template
- 04How to Customize for Your Stack
- 05Python Developer Salary Range and Benefits
- 06What Attracts Senior Python Developers
- 07Common Python Job Description Mistakes
- 08Frequently Asked Questions
Last updated: August 14, 2026
Python job descriptions have a predictable failure mode. They ask for five years of experience with a framework that is only three years old, list 30 skills when 10 would screen candidates more effectively, and say “Python experience required” without mentioning whether that means Django REST framework, FastAPI async endpoints, or data pipeline ETL work in Airflow. The result is a flood of mismatched applicants and a screening process that takes twice as long as it should.
This guide covers what a Python developer JD needs to work, section by section, with a ready-to-copy template calibrated for nearshore hiring from Costa Rica.
Why Most Python Job Descriptions Fail
The first problem is breadth without context. Python is one of the most versatile languages in production use. A job description that lists “Python” without specifying the domain — web backend, data engineering, machine learning infrastructure, scripting automation — attracts applicants from completely different specializations. A senior FastAPI backend developer and a senior Pandas/NumPy data engineer both answer to “Python developer,” but they are not interchangeable.
The second problem is experience inflation. “Five years of Python experience” appears on JDs for roles that genuinely need two years of strong production experience with one framework. Requiring inflated years reduces your candidate pool, pushes up compensation expectations, and filters out candidates who are fully capable of doing the job. Skills and depth are better proxies than calendar years.
The third problem is omitting framework specifics. Listing “Django” as a preferred skill when your entire backend runs on it, or listing “FastAPI” as a required skill when you actually use Flask, sends candidates into your screening process with a mismatch they will not discover until the technical interview. Both outcomes waste time. Naming the framework you actually use, with version specifics where they matter, takes one line and saves ten.
The fourth problem, specific to remote and nearshore Python roles, is leaving collaboration expectations implicit. Whether the developer will participate in live standups, write async documentation, own PR reviews in English, or pair program across time zones are specifics that belong in the JD, not in a first-week onboarding surprise.
Required vs. Nice-to-Have Python Skills
The most important editorial decision in a Python JD is the line between required and nice-to-have. Here is a practical breakdown for a typical backend Python role in 2026:
| Skill | Required | Nice-to-Have | Notes |
|---|---|---|---|
| Python 3.x (3.10+) | Required | Specify 3.10 minimum for pattern matching and modern typing; 3.12 if you are on it. | |
| Primary framework (Django / FastAPI / Flask) | Required | Name the one you actually use. Do not list all three as required. | |
| pytest for unit and integration tests | Required | If you code review PRs without tests, state that in the JD. | |
| async/await (asyncio) | Required for FastAPI | Nice-to-have for Django | Only require for async codebases; many Django shops run synchronous only. |
| Git workflow with pull requests | Required | Code review participation and branch hygiene matter for remote teams. | |
| PostgreSQL or MySQL | Required | Specify ORM depth: SQLAlchemy, Django ORM, or raw SQL comfort level. | |
| Celery + Redis (task queues) | Nice-to-have | Only require if async background jobs are daily work, not adjacent infrastructure. | |
| Docker | Nice-to-have | Requiring Docker shrinks your pool; most strong Python devs learn it in a sprint. | |
| Cloud (AWS / GCP / Azure) | Nice-to-have | Specify the platform. “Cloud experience” is not a meaningful requirement. | |
| Data pipeline experience (Airflow / dbt) | Nice-to-have | Only require for data engineering roles; it screens out backend web developers unnecessarily. |
A required list of five to seven skills is the practical maximum for any Python role. More than seven and something on the list belongs in nice-to-have, or you are describing a role that does not exist at your budget level.
The Full Python Developer Job Description Template
Copy, adapt, and use. Replace [bracketed fields] with your specifics:
Job Title
[Mid-Level / Senior] Python Developer – [Contract / Direct Hire], Remote (Costa Rica)
Role Summary
We are looking for a [mid-level / senior] Python developer to join our [team name] team, working on [brief description: e.g., “a FastAPI microservices platform handling 500k daily transactions for US fintech clients”]. You will own [feature set / service / data pipeline / API domain] and work directly with our US-based engineering team in [time zone, e.g., US Central].
Primary Responsibilities
- Design, build, and maintain [Django REST / FastAPI / Flask] services in Python 3.[10/11/12]
- Write and maintain REST APIs consumed by [internal services / web clients / third-party integrations]
- Own database schema design and ORM layer using [Django ORM / SQLAlchemy] with [PostgreSQL / MySQL]
- Write unit and integration tests using pytest as part of normal feature development, not as an afterthought
- Participate in code reviews, sprint ceremonies, and async technical discussions in English
- Collaborate with [product manager / tech lead / QA] to scope and deliver features within sprint cycles
- [Add role-specific responsibility: e.g., “Build and maintain Celery task queue for background data processing”]
- [Add role-specific responsibility: e.g., “Contribute to data pipeline orchestration using Apache Airflow”]
- Monitor service health and respond to production incidents with clear runbooks and post-mortems
- Maintain code documentation and contribute to shared engineering knowledge base
Required Technical Skills
- Python 3.[10+] production experience in a team codebase
- [Django 4.x / FastAPI 0.100+ / Flask 3.x]: service structure, routing, dependency injection, exception handling
- Relational database experience with [PostgreSQL / MySQL] via [Django ORM / SQLAlchemy / raw SQL]
- Unit and integration testing with pytest; mocking and fixture patterns
- Git-based workflow with pull requests and active code review participation
- REST API design: versioning, error response standards, HTTP status code conventions
- [Add one or two role-specific hard requirements]
- async/await and asyncio fundamentals [required for FastAPI roles only]
Nice-to-Have Skills (not required)
- Celery with Redis or RabbitMQ for background task processing
- Docker; Kubernetes exposure is a plus
- [AWS / GCP / Azure] deployment experience, including managed databases and object storage
- Data pipeline experience: Apache Airflow, dbt, or similar orchestration tools
- [Add your stack-specific preferences: e.g., “Familiarity with Pydantic v2 data validation”]
What You Can Expect
You will be a full member of the [team name] engineering team, not a contractor handed spec documents. You will have direct input on API design, database schema decisions, and sprint scope. Code reviews are substantive and respectful. The codebase has [describe test coverage, CI/CD setup, or engineering culture signal here].
Communication and Collaboration
- Location: Costa Rica (UTC-6, year-round). Must be available during US [Central / Eastern] business hours for standups and sprint ceremonies.
- English proficiency: written clarity sufficient for PR comments, Slack threads, and technical documentation; spoken clarity sufficient for video standups and design conversations.
- Tools: [Jira / Linear] for tickets, GitHub for code, Slack for async communication, Zoom for video.
- Core overlap hours: [e.g., 9 AM to 1 PM US Central]. Remaining hours are flexible.
Compensation Range
Monthly all-in rate: [include range if possible, e.g., “$4,500 to $7,500/month depending on seniority and specialization”]. [Contract / Contract-to-Hire / Direct Hire]. Start date: [target date or ASAP].
How to Customize for Your Stack
The template above covers the core structure. Here is how the wording shifts depending on which part of the Python ecosystem your team actually works in.
Django vs. FastAPI vs. Flask
Django roles should mention the ORM specifically (Django ORM with PostgreSQL, or raw SQL for complex queries), Django REST framework version if applicable, and whether the role touches the admin interface or is purely API-side. Senior Django roles can add Django Channels if WebSocket support is part of the scope.
FastAPI roles require async/await as a hard requirement, not a nice-to-have. Pydantic v2 is worth mentioning by name since v1-to-v2 migration patterns differ enough to matter in screening. If your FastAPI services use SQLAlchemy async engine, specify that explicitly: it requires different patterns than synchronous SQLAlchemy.
Flask roles are typically lighter on framework depth, so the JD weight should shift toward what the Flask service actually does — whether that is a lightweight API gateway, an internal microservice, or a data-serving layer in front of a ML model. Flask alone is not enough context for a senior candidate to understand the role.
Data Engineering vs. Web Backend
A Python developer role that involves Airflow DAGs, dbt models, and ETL pipeline maintenance is a different specialization from a Django backend developer. Use separate JDs. A backend web developer who also maintains data pipelines in the same codebase is fine to describe in one JD, but list pipeline responsibilities explicitly under Primary Responsibilities so candidates understand the scope before applying.
Async vs. Sync Codebases
This distinction matters to experienced Python developers. An async-native FastAPI codebase and a synchronous Django codebase require different mental models, different debugging approaches, and different testing patterns. One line in the JD — “this is an async-first codebase built on FastAPI and asyncio” or “the codebase is synchronous Django with no plans to migrate to async” — tells senior candidates something useful about what they are walking into.
Skip the JD. Get Pre-Screened Profiles.
Kore BPO pre-screens nearshore Python developers before you see a resume. First profiles in 2 to 5 business days.
Python Developer Salary Range and Benefits
Compensation ranges in a JD consistently increase the quality and relevance of applicants. Here are 2026 benchmarks by market and seniority:
| Level | US Market (Annual) | Nearshore Costa Rica (Monthly All-In) |
|---|---|---|
| Mid-Level (3–5 yrs) | $105,000 – $140,000 | $3,800 – $5,800 |
| Senior (5–8 yrs) | $130,000 – $170,000 | $5,500 – $8,500 |
| Staff / Principal | $160,000 – $210,000 | $8,000 – $12,000 |
Beyond base compensation, the benefits that move senior Python developers are specific to how they work:
Remote-first with async flexibility. Senior Python developers in the 2026 market have enough options that “remote-friendly” with a mandatory five-day-a-week camera-on schedule is a dealbreaker for many. If your team is genuinely async-first with defined core overlap hours, say so explicitly.
Equipment stipend. A dedicated MacBook Pro or developer workstation, a monitor budget, and an ergonomic setup allowance are low-cost signals that you take engineering productivity seriously. These details belong in the JD or in a benefits section linked from it.
Learning and conference budget. Python developers who are active in the ecosystem attend PyCon, follow CPython release notes, and read PEPs. An annual learning budget of $1,000 to $2,000 signals that you want people who stay current, not just people who maintain what is already there.
Clear ownership. More than any individual benefit line item, senior Python developers respond to JDs that describe what they will own, not just what tasks they will complete. “Own the API layer for our payments service” attracts a different caliber of applicant than “assist with backend development.”
What Attracts Senior Python Developers
Senior Python developers read JDs differently than junior candidates do. They are evaluating you as much as you are evaluating them. Here is what they look for.
Technical challenge signals. A JD that mentions specific scale (millions of requests per day, terabytes of data, complex async orchestration) tells a senior developer there is actual engineering work to do, not just CRUD endpoint maintenance. If your codebase has genuinely interesting technical problems, say so. If it does not, be honest about that too: a senior developer who joins expecting complex work and finds a CRUD app will leave within six months.
Codebase quality signals. Mentioning your test coverage approach, your CI/CD pipeline, your code review culture, or your use of type hints and static analysis tools (mypy, Ruff, pre-commit hooks) tells senior candidates that the codebase is maintained with care. These details cost nothing to include and are disproportionately influential on senior applicants.
Async-first culture. For nearshore roles specifically, a genuinely async-first team — one where documentation is written before meetings, decisions are made in writing, and working hours are flexible within an overlap window — is a competitive advantage in attracting senior talent. If your team is built this way, describe it in the JD with specifics, not just “we have a great culture.”
Ownership and autonomy. The most common dealbreaker for senior Python developers is a role description that amounts to “implement tickets handed down by the US lead.” Senior developers want to contribute to technical decisions, own components, and have real input on architecture. If your role offers that, the JD should say so directly and specifically.
Common Python Job Description Mistakes
Requiring full-stack when you need backend. If your team needs a Python backend developer and you include React or TypeScript in the required skills, you are writing a full-stack JD for a backend role. Full-stack Python developers exist, but they are rarer, more expensive, and often less deep on either side than a specialist. Decide what you actually need before writing the JD.
Listing years instead of skills. “Five years of Python experience” is the laziest proxy for seniority and the one candidates game most easily. A developer with two years of heavy production FastAPI work is more valuable for a FastAPI role than one with seven years of occasional scripting. Define what you mean by experience in terms of what the person has owned and shipped, not how long they have had Python on their resume.
Vague “Python experience” with no framework mention. “Python experience required” tells a candidate almost nothing. Python is used in web backends, data engineering, ML infrastructure, scripting, DevOps tooling, and scientific computing. Name the framework, the domain, and the version. “Django 4.x REST API development experience required” is a requirement. “Python experience” is not.
Not specifying async vs. sync context. This matters to senior candidates. Joining an async FastAPI codebase when you have spent five years in synchronous Django is a genuine learning curve. Joining a synchronous Django shop when you have built async systems for years can feel like a step backward. One line of context prevents a mismatch that typically surfaces in the second technical interview.
No mention of English proficiency standard for nearshore roles. “Strong communication skills required” appears in every JD and means nothing without a standard. For a nearshore Python developer who will participate in live standups, write PR comments, and discuss design decisions with a US engineering team, the specific bar is: written English clear enough for code review comments without daily editing; spoken English clear enough for video standups and async Loom walkthroughs. State the actual standard.
Frequently Asked Questions
What should a Python developer job description include?
A Python developer JD needs a role summary describing the actual system and scale, primary responsibilities written as actions not skills, a required skills section capped at five to seven items, a nice-to-have section for everything else, an experience level definition based on what the person has owned rather than years, and for remote or nearshore roles, explicit time zone and English proficiency requirements. The most commonly omitted element is framework specificity: saying Django, FastAPI, or Flask by name rather than just Python.
How do I write a Python job description for a nearshore developer?
Start with the same technical requirements you would use for a US hire, then add four specifics: the time zone requirement stated precisely (e.g., “Costa Rica, UTC-6 year-round, must be available US Central business hours”), the English proficiency standard described in practical terms rather than as “strong communication skills,” the collaboration tools your team uses, and your sprint cadence and meeting expectations. Leaving these implicit is the most common source of first-month friction between a nearshore Python developer and a US engineering team.
Should I list Django, FastAPI, and Flask as required skills if I use all three?
No. List the one your new developer will work in daily as required. If they will genuinely touch all three codebases in a significant way, explain that in the role summary so candidates understand the scope, then list the primary framework as required and the others as nice-to-have. Requiring all three frameworks equally signals that the JD was written by someone who listed every technology in the repo rather than thinking about what the role actually needs day to day.
What is a reasonable salary range for a nearshore Python developer from Costa Rica?
In 2026, mid-level nearshore Python developers from Costa Rica typically range from $3,800 to $5,800 per month all-in, and senior developers range from $5,500 to $8,500 per month. Staff or principal-level engineers can reach $10,000 to $12,000 per month. These rates include local benefits, employer taxes, and management overhead when sourced through a nearshore staffing partner like Kore BPO. Publishing a range in your JD consistently improves applicant quality and reduces time-to-close.
How many required skills should a Python developer job description list?
Five to seven required skills is the practical maximum. More than seven and you are either including skills that should be in the nice-to-have section, or you are describing a role that does not exist at your budget. The required section should contain only the skills you would genuinely use to screen out an otherwise strong candidate in a first technical call. Everything else belongs in the nice-to-have section, which signals preference without acting as a filter.
Disclosure: Kore BPO is a nearshore staffing agency. This article reflects our direct experience sourcing Python developers from Costa Rica for US engineering teams.
Related Articles
Find Your Nearshore Python Developer
Kore BPO sources, screens, and places nearshore Python developers from Costa Rica. Profiles in 2 to 5 business days, $0 upfront fees.
View Nearshore Python Developers