Software Engineer - Python + Docker

About The Role Vraify is seeking experienced software engineers for a short-term remote initiative focused on realistic backend systems, integrations, and long-horizon AI tasks. You will build production-minded Python services, test connector behavior, and help create reliable technical evaluation workflows. This is an independent contractor role paid per approved task. The project is expected to run for 2-3 weeks, with the possibility of extension based on project needs. Contributors should be able to complete and receive approval for at least one task per day. What you'll do • Build Python backend applications that replicate SaaS tools such as Slack, Linear, Jira, Notion, Gmail, and wikis. • Implement complete backend functionality, integrations, REST APIs, and connector workflows. • Test backends and integrations to ensure connectors behave accurately and reliably. • Extend existing connectors or build new connectors from scratch. • Mine data and workflows to identify representative long-horizon tasks. • Write realistic technical tasks and clear evaluation rubrics. • Verify task and data quality through structured quality assurance. • Use AI coding agents throughout development, testing, and validation. • Participate in onboarding, calibration, and quality-review cycles. What we look for • At least 3 years of professional software engineering experience. • Strong Python backend development skills using FastAPI, Flask, or Django. • Experience with Git, Docker, REST APIs, microservices, and basic software delivery pipelines. • Daily proficiency with AI coding assistants such as Codex, Claude Code, Cursor, GitHub Copilot, or similar tools. • A strong grasp of testing, version control, code quality, and software engineering best practices. • Strong analytical, problem-solving, and communication skills. • Ability to work independently and collaborate effectively with distributed teams. • A LinkedIn profile included in your resume. Nice to have • Experience building SaaS connectors or integrations. • Knowledge of evaluation frameworks, quality-assurance methods, or rubric creation for AI datasets. • Experience developing realistic workflows for long-horizon AI tasks. • Experience with Claude or Claude Code.