Senior Python Engineer

We are part of an international organization listed on Nasdaq Stockholm, operating in 11 countries. In Poland, we work with full autonomy. We independently choose our technologies, processes, and ways of working while maintaining the highest professional standards.

We deliver a wide range of IT projects in Poland and internationally, across multiple domains and technologies. This allows our consultants to develop their competencies and gain experience aligned with their professional ambitions.

Our collaboration is built around the CARE philosophy. For us, it means responsible project matching, transparent cooperation, and a long-term approach to professional growth.

Join us as Senior Python Engineer. Grow in an environment that cares about your development as much as you do.

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  Design, develop, and expand scalable backend services, modules, and REST APIs within a SaaS architecture.

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  Implement, verify, and continuously test analytical and statistical algorithms to guarantee full correctness and output accuracy.

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  Analyze business and technical requirements in close collaboration with product teams, engineering peers, and Tech Leads.

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  Perform code reviews for other engineers — including solutions created with AI assistance — and provide mentorship to support team growth.

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  Maintain system stability, execute data migrations, manage complex operations on large datasets, and handle infrastructure upgrades.

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  Diagnose, analyze, and efficiently resolve technical issues and production bugs.

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  Actively adopt AI developer tools in daily workflows and propose concepts for new AI-powered product features.

• Hands-on senior-level engineering experience building back-end systems.

• Strong Python fundamentals and commercial experience developing applications with Django.

• Proficiency with relational databases (such as PostgreSQL), including writing optimized queries and schema management.

• Experience in architecting, designing, and delivering scalable REST APIs.

• Solid testing practices (unit and integration tests) with a focus on verifying numerical and analytical logic.

• Readiness to work with applied statistics (regressions, distributions, p-values) and implement models alongside domain experts.

• Daily experience using AI coding assistants (such as Cursor, GitHub Copilot, or Claude Code).

• Professional fluency in written and spoken English for seamless collaboration in an international team.