Senior Python Engineer - Functional Testing Project via Mindrift

Mindrift

South Africa

A distancia

ZAR 441.892 - 530.270

A tiempo parcial

14 días+

Una candidatura completa en un minuto

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Ventajas ofrecidas por este puesto de trabajo

Freelance project-based collaboration
Fully remote and flexible participation
Task-based compensation up to $24/hour
Opportunity to contribute to innovative AI projects
Supportive global community

Descripción de la vacante

A project-based AI opportunity provider is seeking a Senior Python developer to create functional tests for large codebases and manage Docker environments. This role requires expertise in Python, Docker, and strong functional testing skills. The candidate should have over 5 years of experience, proficiency with various coding languages, and familiarity with LLMs. This position offers flexible remote participation and competitive task-based compensation.

Formación

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

Responsabilidades

  • Create functional black box tests for large codebases.
  • Manage Docker environments to ensure reproducible builds.
  • Monitor code coverage and configure automated scoring criteria.

Conocimientos

Python
Docker
Linux
Bash scripting
pytest
LLMs
C/C++/Rust/Go reading

Herramientas

Git
Dagger
GitHub Codespaces

Descripción del empleo

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 $24/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
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