Senior Python Systems Developer - Functional Testing Project

About the Role

As a Senior Python Systems Developer, you will be working in a fast-paced, remote environment, collaborating with a global team of specialists. Your expertise in Python, Docker, and LLMs will be crucial in driving the success of Mindrift's AI projects. The company's platform, powered by Toloka AI, enables freelance professionals to contribute to innovative projects on a flexible, project-by-project basis.

Mindrift's approach to project-based collaborations allows for a dynamic and varied workload, with each project presenting new challenges and opportunities for growth. As a developer with a strong background in functional testing, you will play a key role in ensuring the quality and reliability of Mindrift's AI systems.

What You Will Do

• Design and implement 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 (such as Roo Code or Claude Code) to accelerate iterative development and automate repetitive tasks
• Translate requirements for migration tasks, utilizing LLMs for support
• Collaborate with the development team to improve overall code quality and adhere to industry standards
• Participate in the design and implementation of automated testing frameworks
• Utilize tools like pytest for designing and executing functional tests
• Develop and maintain scripts for automating testing workflows
• Ensure compliance with security best practices and standards

What We Are Looking For

• 5+ years of experience as a Software Engineer, primarily with Python
• Deep experience with pytest, including fixtures, session-scoped, and timeouts
• Expert-level Docker skills, including reproducible Dockerfiles, user contexts, and secure workspaces
• Strong Linux and Bash scripting skills, with comfort debugging inside containers
• Proficiency with modern Python tooling, including uv and pyproject.toml
• Ability to read and understand code in multiple languages, including C, C++, Rust, or Go, with the support of LLMs
• Experience using LLMs to accelerate iterative development and test-case generation
• English language proficiency at a B2 level or higher
• Prior experience with agent evaluation platforms and MCP CLI tools
• Familiarity with technologies such as Dagger, GitHub Codespaces, and coverage.py

Nice to Have

• Experience with Git Submodules and managing complex repository structures
• Knowledge of cloud platforms and container orchestration tools
• Familiarity with AI and machine learning concepts and their application in software development
• Participation in open-source projects or personal coding initiatives

Benefits and Perks

• Freelance project-based collaboration via the Mindrift platform, offering flexibility and autonomy
• Opportunity to contribute to innovative AI projects for leading tech companies
• Supportive global community of professionals
• Fully remote and flexible participation, with the ability to choose when and how much to contribute (20-30 hours per week)
• Competitive compensation, with AI trainers earning up to $45 per hour equivalent
• Access to cutting-edge technologies and tools, including LLMs and Docker
• Professional development opportunities through collaboration on diverse projects
• Flexible scheduling to accommodate different time zones and work styles

• Ensure your portfolio includes examples of complex Python projects, especially those involving functional testing and Docker.
• Familiarize yourself with LLMs like Roo Code or Claude Code, and be prepared to discuss how you can leverage these tools to accelerate development.
• Highlight your experience with automated testing frameworks and your ability to design and implement black box tests.
• Be prepared to discuss your approach to troubleshooting and debugging in a remote, collaborative environment.
• Consider highlighting any experience with AI or machine learning, as well as participation in open-source projects or personal coding initiatives.
• Practice explaining complex technical concepts in simple terms, as this will be important for collaboration with a global team.
• Show enthusiasm for continuous learning and professional development, as Mindrift's project-based model offers opportunities to work on a variety of innovative projects.