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# Python AWS Developer

- **Company:** PFI Financial Inc.
- **Location:** Des Moines, IA, United States
- **Salary:** $100,000.0 - $110,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Automation of Tests, Code Review, Continuous Integration, Relational Databases, Software Debugging, Django Web Framework, Amazon DynamoDB, Github, Identity and Access Management, Python (Programming Language), Machine Learning, Systems Development Life Cycle, SQL Databases, Flask (Web Framework), AI Coding Agents, Backend, Git, Fastapi, Build Management, Pytest, AWS Fargate, Claude, Functional Programming, Cloudwatch, Docker, Web Api
- **Published:** October 7, 2026
- **Apply:** https://www.careerjet.com/jobad/use3573750b0decea5e34c9add50fd2177

## About the Role

Must Have Technical/Functional Skills
Strong hands-on experience with Python for backend development
Experience building and consuming Web APIs (FastAPI, Django, or Flask)
Hands-on experience with AWS services (ECS/Fargate, Lambda, S3, DynamoDB, CloudWatch, IAM, STS, SSM Parameter Store)
Experience with CI/CD pipelines (e.g., GitHub Actions) and Docker
Experience writing automated tests (pytest)
Comfortable using AI coding assistants (Claude) to speed up development, review, and debugging
Good to have
Strong experience with SQL and relational databases
Experience debugging production issues end-to-end using cloud log tools (e.g., CloudWatch)
Experience integrating multiple systems/APIs and reconciling data across them
Experience with Git-based team workflows (branching, code review, deployments)
Awareness of agile/iterative SDLC processes
Experience coordinating with other teams on shared systems, access, or release timing

## Description

Design and build backend services that connect to multiple data sources and APIs
Investigate and resolve production issues by analyzing logs and tracing bugs to root cause before making changes
Write automated tests and fix data-accuracy issues, especially when matching records across systems
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