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# Python Developer (Hybrid)

- **Company:** T M FLOYD & CO
- **Location:** Columbia, SC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $119,288.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Python (Programming Language), Gitlab, Information Technology, Cloud Migration, Api Design, Serverless Computing, Jenkins
- **Published:** October 15, 2026
- **Apply:** https://www2.jobdiva.com/candidates/myjobs/openjob_outside.jsp?a=jkjdnwgg6ps3uqzpkj4uetmcsryqb6027duusc37ikj0ldwe09fise51ub2xzlr0&from=COMP&id=29466934&SearchString=&StatesString=

## About the Role

Work Authorization: U.S. citizens and Green Card holders only. Sponsorship is not available for this role; no C2C or third-party candidates. Candidates must be able to work on our W2., * 6 years of application development, systems testing, or related experience

 * Advanced proficiency in Python
 * Experience with:
 + Cloud platforms, such as AWS or Azure
 + API development & integration
 + CI/CD / DevOps tooling like GitLab, Jenkins, Azure DevOps, or similar, * Bachelor's degree in Computer Science, Information Technology, or other job-related degreel; OR
 * Degree Equivalency: 4 years of job-related work experience or 2 years of job-related experience plus an Associate degree in a related field, The ideal candidate will have a strong background in Python development with experience in cloud platforms like AWS or Azure. They should possess advanced skills in API development and integration, as well as familiarity with CI/CD and DevOps tools such as GitLab, Jenkins, or Azure DevOps. A Bachelor's degree in a related field or equivalent work experience is required.

## Description

We're hiring a Python Developer to join our team in Columbia, SC. This role offers a hybrid schedule, with 3 days a week onsite required., * Design, build, and migrate Python-based services as part of a cloud modernization effort

 * Analyze existing systems and rewrite or refactor components into Python
 * Build cloud-native services and APIs
 * Integrate services into the target cloud environment
 * Build new Python modules and optimize performance