Mid LevelPython Developer Resume Example

Use this free mid levelpython developer resume sample as your starting point, then tailor it for your experience level and target job.

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Python Developer Resume Template (mid level)

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support@applybuddy.ai | (123) 456-7899 | Silicon Valley, CA

Professional Summary

Python Developer who owns backend services end to end, from FastAPI and Django APIs to PostgreSQL modeling, testing, and CI/CD, with a record of improving latency, coverage, and reliability.

Professional Experience

Python DeveloperApr 2021 - Present

Meridian Data, Austin, TX

Built FastAPI microservices backed by PostgreSQL serving 2M requests/day at a p95 latency under 120ms.
Raised pytest coverage on payment services from 52% to 88% and gated merges on it in GitHub Actions CI.
Implemented Celery and Redis task queues processing 500K asynchronous jobs daily with automatic retries.

Software EngineerJun 2018 - Mar 2021

Cobalt Systems, Portland, OR

Designed 30+ Django REST Framework endpoints with OpenAPI docs and Pydantic validation.
Profiled hot paths with cProfile and removed N+1 queries, cutting a key endpoint's p95 latency by 60%.
Containerized services with multi-stage Docker builds and deployed to AWS ECS.

Skills

Python, FastAPI, Django, PostgreSQL, REST APIs, pytest, Docker, AWS

Education

B.S. Computer ScienceMay 2018

Portland State University

Certifications

AWS Certified Developer - Associate

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Key Skills for Python Developer

PythonFastAPIDjangoPostgreSQLREST APIspytestDockerAWS

ATS Keywords for Python Developer

Use these naturally in your summary, skills, and experience when they reflect your background.

Python DeveloperPythonFastAPIDjangoPostgreSQLREST APIspytestCI/CDDockerAWSCeleryasyncio

How to Write a Mid Level Python Developer Resume

A mid-level Python developer resume needs to show independent delivery: services and APIs you owned end to end with FastAPI or Django and PostgreSQL, plus the testing and CI/CD discipline that kept them fast and stable in production without day-to-day oversight from a senior engineer.

Resume Writing Tips

Quantify what you shipped

State the service, the stack, and a measurable outcome, like a FastAPI endpoint serving 2M requests/day under 120ms or an ETL job cut from 4 hours to 35 minutes, so impact is legible at a skim.

Show ownership of the full pipeline

Describe your role in CI/CD, writing GitHub Actions config, adding pytest and mypy gates, or cutting deploy time, to prove you own reliability and quality, not just feature code.

Name performance work specifically

Cite a profiling tool like cProfile, the bottleneck you found (N+1 queries, blocking I/O), and the latency or throughput gain, since concrete optimization wins signal real backend depth.

Skills to Highlight

FastAPI / Django

Detail an API you designed independently, including validation, auth, or async decisions, and how many endpoints or downstream consumers it served.

PostgreSQL

Cite a schema you modeled or a query you optimized, such as removing N+1 queries or adding indexes, and the performance improvement that resulted.

pytest / CI

Explain a coverage improvement and how you gated merges on it, showing you enforce quality automatically rather than relying on manual review.

Docker / AWS

Describe containerizing a service and deploying it to AWS, including a concrete gain like reduced image size, faster cold starts, or lower infra cost.

Common Questions

How do I show seniority without a lead title?

Emphasize scope and independence: services you owned from design through deployment, APIs you shipped end to end, and decisions you made without escalating, like choosing FastAPI over Flask for async workloads. Independent ownership plus metrics is what separates mid-level work from entry-level tasks assigned by a senior engineer.

Should I include the data or ML side of my Python work?

Include it only if it's relevant to the posting or fills a genuine gap. If the role is web-backend, keep the focus on APIs, databases, and reliability, and mention data work briefly. If the role blends backend and data engineering, foreground your Airflow or Pandas pipelines, since matching the posting's emphasis matters more than showing every Python track you've touched.

How specific should metrics be without exact numbers?

Mid-level AI Engineer resume example. Highlights model development, fine-tuning, and production deployment.

PythonPyTorchDocker

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