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Senior Backend Engineer (Python) — m/f/d

Remote (Berlin, BE, DE)Remote (region-locked)Seniorvia jobspy_indeed
pythonfastapipostgresqldockerawsrest apimicroservicessqlalchemy

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We're a fast\-growing product company building an AI\-powered platform used by thousands of teams every day. We're looking for a Senior Backend Engineer to own critical services end\-to\-end — from design to production — and help us scale to the next order of magnitude. You'll join a small, senior team where your decisions have real impact.

### **Tasks**

* Design, build and operate scalable backend services (Python / FastAPI) and REST APIs. * Model and optimize PostgreSQL schemas; write efficient async queries. * Own services end\-to\-end: architecture, implementation, testing, deployment and monitoring. * Integrate third\-party APIs and internal microservices behind a gateway. * Improve reliability, performance and security under high concurrency. * Collaborate with product and frontend to ship features that matter. * Mentor mid\-level engineers and raise the bar on code quality.

### **Requirements**

* 5\+ years building production backend systems in Python. * Strong experience with FastAPI (or Flask/Django) and async programming. * Solid PostgreSQL skills: schema design, indexing, query optimization. * Experience designing and scaling REST APIs and microservices. * Comfortable with Docker, CI/CD and cloud (AWS preferred). * Good understanding of auth (JWT/OAuth), caching and message queues. * Clear written and spoken English; pragmatic, ownership mindset.

Nice to have: Kubernetes, SQLAlchemy, observability (Prometheus/Grafana), LLM/AI integrations ### **Benefits**

* Competitive salary \+ equity. * Remote\-friendly with flexible hours. * Top\-tier hardware and a yearly learning budget. * 30 days paid vacation. * Small senior team, real ownership, fast decisions.

**Skills:** Python, FastAPI, PostgreSQL, Docker, AWS, REST APIs, Microservices, SQLAlchemy, CI/CD, Redis

If you like owning hard problems and shipping reliable systems at scale, we'd love to talk. The process is quick: a short AI video interview, then a technical conversation with the team. Apply today.

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