Senior Python Engineer – On-site Warsaw

• Backend Experience: Strong senior-level backend engineering experience in production systems.
• Python: Strong Python skills and the ability to design clean, maintainable backend code.
• Systems Thinking: Good distributed systems judgment: concurrency, failure handling, data consistency, async work, and service boundaries.
• Cloud Infrastructure: Hands-on experience with cloud infrastructure such as AWS, GCP, or Azure.
• Databases: Comfort with database schema design and performance tuning for real-time and high throughput scenarios.
• Security: A security-conscious approach to engineering: you build for enterprise-grade requirements, handle sensitive data carefully, and think about the security implications of the systems and AI workflows you ship.
• Ownership: Ability to go from problem statement to design to production rollout with real ownership.
• Communication: Clear written and verbal communication. You can explain systems, trade-offs, and incidents without hiding behind jargon.
• AI-Native: AI-native working style. You already use AI tools in your daily engineering workflow, and you're excited to improve how the team builds, not just your own output: better tooling, workflows, and engineering leverage.

• We are looking for a Middle/Senior Backend Engineer who can design, build and own business-critical production systems. You will have real ownership from system design through deployment, working on scalable backend services and AI-native solutions.
• The team values technical excellence, clear communication, autonomy and practical decision-making. Engineers use modern AI tools such as Codex and Claude Code to improve development workflows and engineering efficiency.

,[Design and ship backend services, APIs, data flows, and background processing for production systems., Turn vague requirements into concrete technical plans, trade-offs, and execution., Own services after launch: reliability, observability, performance, and incident follow-through., Instrument what you ship and use production signal to iterate., Make sound decisions around system boundaries, data models, interfaces, and scaling paths., Work closely with product, frontend, and platform engineers to deliver end-to-end outcomes., Improve engineering leverage with AI tooling, automation, and internal workflows., Raise the quality bar through code review, design review, and pragmatic technical leadership.] Requirements: Python, AWS / Azure / GCP, SQL, REST API / Backend Development, Distributed Systems, TypeScript, AI Agents / Agentic AI, LLM / GenAI, RAG, Microservices Additionally: Career growth, Sport subscription, Private healthcare.