Senior Python Engineer - Functional Testing Project via Mindrift

Mindrift; France; Sur place; EUR 46 544 - 58 180; Temps partiel

Avantages offerts par ce poste

Freelance project-based collaboration

Fully remote and flexible participation

Task-based compensation

Opportunity to work on AI projects

Supportive global community

Résumé du poste

An AI project consultancy is seeking a Senior Python Developer for project-based collaboration. This role focuses on creating functional black box tests, managing Docker environments, and leveraging LLMs for development efficiency. Candidates must have 5+ years of experience in software engineering, strong Python and Docker skills, and the ability to work with various coding languages. The position offers a fully remote setup with flexible hours and task-based compensation up to $50/hour, depending on performance.

Qualifications

• 5+ years of experience as a Software Engineer primarily in Python.
• Deep experience with pytest and designing functional tests for CLI tools.
• Expert-level Docker skills with reproducible Dockerfiles.

Responsabilités

• Create functional black box tests for large codebases.
• Create and manage Docker environments for test execution.
• Monitor code coverage and configure automated scoring criteria.

Connaissances

Software Engineering

Python

Docker

Linux

Bash scripting

LLMs

pytest

C/C++/Rust/Go (reading)

Outils

Docker

Git

GitHub Codespaces

Claude Code

Roo Code

Cursor

Description du poste

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

Participation is project-based, not permanent employment.

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.

Key Responsibilities

• 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

Requirements

• 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

Additional Requirements

• Prior experience with agent evaluation platforms and MCP CLI

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.

Benefits

What we can offer

• Freelance project-based collaboration via the Mindrift platform (powered by Toloka AI)
• Fully remote and flexible participation — choose when and how much to contribute (20-30 hours per week)
• Task-based compensation, equivalent to up to $50/hour* depending on performance and volume
• Opportunity to contribute to innovative AI projects for leading tech companies
• Supportive global community
• Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project