Oferta wygasa za:73 dni
Tryb pracyStacjonarna
Rodzaj umowyKontrakt B2B
Tryb rekrutacjiRekrutacja stacjonarna
Wymiar etatuPełny etat
BranżaIT
About the project
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.
Your responsibilities
- 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.
Our requirements
- Strong senior-level backend engineering experience in production systems.
- Strong Python skills and the ability to design clean, maintainable backend code.
- Good distributed systems judgment: concurrency, failure handling, data consistency, async work, and service boundaries.
- Hands-on experience with cloud infrastructure such as AWS, GCP, or Azure.
- Comfort with database schema design and performance tuning for real-time and high throughput scenarios.
- A security-conscious approach to engineering: handle sensitive data carefully and consider security implications.
- Ability to go from problem statement to design to production rollout with real ownership.
- Clear written and verbal communication.
- AI-native working style; already use AI tools in daily engineering workflow.
- Experience building agentic systems: AI agents, tool-calling, orchestration, retrieval, or LLM-backed infrastructure in production.
- Working knowledge of TypeScript or the ability to contribute across the stack when needed.
- Experience shaping technical direction for other engineers, even without formal management responsibility.
What we offer
- High level of autonomy and real impact on technical decisions
- Career growth in system design and architecture
- Collaboration within a small, experienced engineering team
- Opportunity to develop AI-native engineering practices
- Medicover
- Medicover Sport
Benefity
Karta sportowa
Prywatna opieka medyczna
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