Backend Engineer - Python

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

• 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

• Build something big: Help build and scale a fast-growing AI infrastructure startup
• Pay & perks: Competitive compensation with a performance-based incentive, subsidized Deutschlandticket, and access to a discount portal
• Work your way: Flexible hours with hybrid and remote-friendly* options
• Fast lanes, no red tape: Flat hierarchies and rapid decision-making mean ideas ship quickly
• Global team: Work with a diverse, international team across Germany and the USA
• Modern headquarters: Well-stocked office near the Heidelberg Hauptbahnhof, available on a hybrid basis or as a place to connect during our quarterly team workshops
• Top setup: Your choice of high-quality hardware and equipment