Python Developer Job Description Template

Need a skilled Python Developer fast? Use our job description template to attract top talent and streamline your hiring for high-performance web apps.

Written by Jay V.Lead Software Engineer - AI, Machine Learning and Computer Vision Platforms · Softaims Python Developer network

Python is a primary language for web backends, automation, data engineering, and ML-adjacent services. Companies hire Python developers when they want readable code, rich libraries, and teams that can span APIs, batch jobs, and scientific tooling without constant context switching.

In 2026, serious Python product engineering usually means type hints (mypy/pyright), async where appropriate, structured packaging (uv/poetry), fast test loops (pytest), and clear boundaries between I/O and CPU work. Job posts that name frameworks (Django, Flask, FastAPI), deployment model, and data stores attract better-matched candidates.

Strong Python job descriptions spell out ownership: greenfield features versus maintenance, expectations around reviews and docs, and how quality is measured (coverage targets, SLOs, error budgets). Vague “know Python” listings waste everyone’s time in screening.

The seniority templates below help you publish Junior through Lead roles with realistic scope—guided implementation at the junior end; service ownership and architecture at senior and lead levels.

Localize compensation and benefits to your market; replace generic perks with what you actually provide. Specificity supports candidate trust and clearer search intent alignment.

Whether you run Django monoliths, FastAPI microservices, or hybrid stacks, aligning titles to real responsibilities improves retention after hire.

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Python Developer Job Description Template

Copy this template, and modify it as your own:

Job Description:

We seek a Mid-Level Python Developer to own features across our services—APIs, workers, and internal tools. You will collaborate with product, frontend, and data teams to ship reliable software, improve performance, and keep our codebase maintainable. Expect to work in typed Python with automated tests and CI gates.

You should handle medium-complexity projects independently, propose sensible tradeoffs, and communicate risks before deadlines compress.

Tech Stack:

  • Web: FastAPI, Django (+DRF or Ninja), or Flask with mature patterns.
  • Typing: mypy/pyright-friendly code in shared modules.
  • Async: asyncio, workers, or threaded models chosen deliberately.
  • Data: Migrations, indexes, transactions, and ORM performance tuning.
  • Jobs: Celery, Dramatiq, RQ, or cloud tasks.
  • Ops: Docker, CI, structured logging, metrics.

How We Work:

  • Squad delivery with defined API consumers.
  • Definition of done includes tests, monitoring hooks, and rollback notes.
  • On-call with proportional expectations for mid-level engineers.
  • Lightweight ADRs for meaningful design choices.
  • Regular collaboration with data or ML teams when interfaces exist.

Job Responsibilities:

  • Design and implement REST or GraphQL APIs with FastAPI, Django REST, Flask, or team stack.
  • Model data with Django ORM, SQLAlchemy, or equivalent; author safe migrations.
  • Use asyncio or threaded workers appropriately; avoid blocking the event loop in async apps.
  • Integrate caches, queues, and object storage using team-approved clients.
  • Implement authN/authZ patterns (JWT, sessions, OAuth2, scoped API keys).
  • Improve observability: structured logs, metrics, traces.
  • Optimize hot paths and database access with profiling evidence.
  • Expand test suites; reduce flakiness; add contract tests where valuable.
  • Review code for security, correctness, and API ergonomics.
  • Document ADRs for meaningful decisions.
  • Participate in on-call rotation if applicable.

Required Skills:

  • 3+ years professional Python with production services experience.
  • Proficiency with type hints and tooling (mypy/pyright) in real codebases.
  • Strong testing habits with pytest; fixtures and parametrization.
  • Solid SQL and schema design; index awareness.
  • Experience with Docker and CI pipelines.
  • Git proficiency and constructive code review participation.
  • Understanding of common web vulnerabilities and mitigations.
  • Bonus: Celery/RQ, Airflow/Prefect, pandas in production, or AWS/GCP SDKs.

Nice to Have:

  • GraphQL, gRPC, or protobuf services.
  • Airflow/Prefect/Dagster for orchestration domains.
  • AWS/GCP/Azure SDK experience beyond tutorials.
  • Performance profiling with cProfile, py-spy, or APM tools.
  • Security reviews or dependency automation ownership.

Interview Process:

  1. Recruiter screen (30 minutes): role fit, work arrangement, timeline, and compensation alignment.
  2. Hiring manager or engineering lead (45 minutes): ownership examples, collaboration with product and design, and scope expectations for this level.
  3. Technical round (60–90 minutes): practical discussion and exercises relevant to Python backends and production APIs; we share rubrics in advance where possible.
  4. Follow-up or pair session (45–60 minutes when used): deeper dive on architecture, debugging, or a collaborative exercise matched to seniority.
  5. Final conversation (45 minutes): team culture, ways of working, and your questions for us.

Perks and Benefits:

  1. Competitive salary and equity or bonus programs.
  2. Comprehensive health and retirement benefits.
  3. Remote/hybrid flexibility and generous PTO.
  4. Conference and book budgets.
  5. Top-tier development hardware.
  6. Promotion framework to senior.
  7. Team events and learning guilds.
  8. On-call pay when rotations exist.
  9. Internal mobility opportunities.
  10. Open-source contribution time where aligned.

Salary Expectations:

Mid-level Python engineers in the United States commonly earn roughly $105,000–$155,000 per year base, with higher bands in major cities and specialized domains.

About the Author

  • Author icon

    By Dattatray Y.

  • ✓ Verified Expert
  • Experience icon

    12 years of experience

My name is Dattatray Y. and I have over 12 years of experience in the tech industry. I specialize in the following technologies: PHP, Python, jQuery, Drupal, HTML, etc.. I hold a degree in Masters, Bachelors. Some of the notable projects I've worked on include: Boster Bio - Antibody & ELISA Experts, Fashion & Friends, Stopperka, Scarosso, Honourrings, etc.. I am based in Pune, India. I've successfully completed 6 projects while developing at Softaims.

I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.

My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.

Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today's highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.

Previously worked at:Universal Software corporation

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Zachary A.

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Kamal P.

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Verified BadgeVerified Expert in Engineering
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Georgy P., Lead Software Engineer - AI, Python and Fullstack at Softaims

Georgy P.

python

Verified BadgeVerified Expert in Engineering
Timezone: UTC-04:00UTC-04:00
Country: CanadaCanada
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Georgy P. | SoftaimsMember Since 2017
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Working with Softaims allowed us to quickly onboard highly skilled engineers who integrated seamlessly with our team. The experience was smooth and the results exceeded our expectations.

The Softaims platform gave us access to developers who immediately added value. Their expertise and professionalism made the entire process seamless.

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