Python spans web backends, data work, and AI, so a good job description declares which Python job this is. The template below covers the backend engineering profile, the most common hire, with brackets to slot in your framework and any data-adjacent duties.
general-purpose programming language
Python is a general-purpose, dynamically typed programming language created by Guido van Rossum and first released in 1991, known for readable syntax and a very large standard and third-party library ecosystem.
It is the default language of data work and machine learning through NumPy, pandas, PyTorch and scikit-learn, and a mainstream backend language through Django, FastAPI and Flask.
Python is a safe long-term bet with the deepest talent pool in data and AI. Be specific in the brief: a Django backend engineer and a machine learning engineer share a language and little else.
Paste the template below into your job board or careers page, then replace the bracketed placeholders with your company's specifics. Every section is written to be edited, not just admired.
About the role [Company] is hiring a Python Developer to build the backend of [product] with [framework] on [cloud]. The codebase is typed, tested, and actively maintained, and this role owns services that matter from the first sprint. What you will do - Build APIs and services in modern, typed Python. - Own data modeling and keep queries fast as tables grow. - Move heavy work into queues and keep request latency flat. - Integrate the external services our product depends on, defensively. - Share production ownership with humane on-call. What we are looking for - 3+ years of production Python with [framework] depth. - Type hints and pytest as habits, not aspirations. - SQL competence beyond the ORM's comfort zone. - Async judgment: where it helps, where it hurts. - Clear, concise writing for design docs and reviews. Nice to have - Data pipeline experience, deployment depth, or open-source involvement. Compensation and benefits Base salary of $100,000 to $175,000 depending on experience, plus [equity/bonus] and benefits. Tune the range for your market before posting. How we work Engineers here get protected focus time, a voice in architecture, and a manager whose job is removing obstacles. We support open-source contribution on work time where it overlaps our stack, and every engineer has a [learning budget] plus full remote flexibility. How to apply Apply with a resume and a link to Python you have written, or a paragraph on a service you built and what you would change about it now. We read the paragraph carefully.
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Only if the role genuinely includes them. Blending backend and data science duties into one posting attracts candidates strong in neither; split the roles or pick the priority.
Backend-focused base salaries typically run $100,000 to $175,000. Contract rates usually land between $38 and $135 per hour, rising with data or ML specialization.
Django has the deepest pool for batteries-included products; FastAPI attracts engineers who like modern async and typing. All three pools are healthy; name yours and hire for fundamentals.
Discuss a real design: an API with a slow endpoint, a queue that backs up. Strong candidates reason about measurement and trade-offs; weak ones jump to rewriting in another language.
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