About the role
Your mission To support our growing team, we are looking for an experienced Backend Engineer - Python to work closely with our engineering and product leadership. In this role, you will take a hands-on and high-ownership approach to shaping and building our backend architecture. This includes designing scalable, secure, and high-performance systems, defining robust APIs and data models, and aligning Kubernetes-based infrastructure with backend services to enable seamless integration between our simulation and inference platforms in a fast-moving AI-driven environment. This role is open to remote/hybrid candidates based in Germany. Responsible for shaping the backend architecture - ensuring scalability, security, and performance Integrate our simulator and inference products to deliver a seamless end-to-end system Define and evolve backend patterns, APIs, and data models to support complex simulation workflows Collaborate with infrastructure teams to align backend services with Kubernetes-based environments Collaborate closely with frontend, UI/UX, and infrastructure teams to ensure cohesive system design Build backend services capable of handling large-scale, data-intensive, and latency-sensitive operations Your profile Strong experience in Python (5+ years) with a focus on backend systems Proven experience building scalable, resilient backend architectures in production Hands-on experience with FastAPI Solid understanding of distributed systems and system design Experience with PostgreSQL and data modeling for high-throughput systems Working knowledge of Kubernetes and containerized environments Experience with observability and monitoring tools (e.g. Prometheus) Focus on performance and reliability Understanding of security best practices, especially for handling sensitive client data Nice-to-have: Familiarity with message brokers (e.g. RabbitMQ, Kafka) Exposure to frontend technologies (e.g. React) for collaboration purposes Experience with advanced web technologies (Websockets, SSE) Experience with object storage systems (S3) Exposure to AI/ML systems, model serving, or training pipelines Why us? Build something big: Help build and scale a fast-growing AI infrastructure startup Pay &
