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# Senior Python Developer - Code Migration Specialist

- **Company:** Mindrift View all jobs
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $166,400.0
- **Contract:** Temporary to permanent
- **Skills:** Bash Shell, C++ (Programming Language), Code Coverage, Software Quality, Cursor (Graphical User Interface Elements), Software Debugging, Linux, Github, Iterative and Incremental Development, Python (Programming Language), Test Execution Engine, Large Language Models, Git, Pytest, Docker, Code Migration, Programming Languages
- **Published:** May 16, 2026
- **Apply:** https://www.careerjet.com/jobad/us843cba6a586e5c42e6a15c00f4aba261

## About the Role

This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development., * 5+ years of experience as a Software Engineer (primarily Python)

 * Deep experience with pytest (fixtures, session-scoped, timeouts) and designing black-box functional tests for CLI tools
 * Expert-level Docker skills (reproducible Dockerfiles, user contexts, secure workspaces)
 * Strong Linux & Bash scripting skills and comfort debugging inside containers
 * Proficiency with modern Python tooling (uv, pyproject.toml, packaging)
 * Ability to read and understand with LLM many coding languages (for example C, C++, Rust, or Go)
 * Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate iterative development and test-case generation
 * English language - B2 or higher, * Prior experience with agent evaluation platforms and MCP CLI, Position Summary Python Developer - Project Delivery Senior Analyst Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? A…
 + 1 month ago

## Description

* Create functional black box tests for large codebases in various source languages
 * Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms
 * Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards
 * Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality, Tools and Technologies: Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov.


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