- Own the backend architecture with a focus on scalability, security, and performance.
- Connect the simulation layer with the inference platform to deliver a unified system.
- Define backend patterns, APIs, and data models for complex simulation workflows.
- Align Kubernetes orchestration with backend needs for reliable scaling.
- Work alongside frontend, design, and infrastructure teams to keep the system cohesive.
- Build services that handle heavy data loads and low-latency requirements.
- Proven experience building backend architecture from scratch in production.
- Strong Python background (5 years) with frameworks like FastAPI or Django.
- Solid grasp of distributed systems, data modeling, and integration-focused API design.
- Strong grounding in security best practices for sensitive data.
- Able to design systems that stay responsive, resilient, and maintainable under load.
- Comfortable guiding technical decisions across teams.
- Exposure to common ecosystem components: message brokers, real-time communication, metrics stores, SQL/NoSQL databases, and object storage.
- Competitive compensation
- Flexible hours and remote-friendly
- Fast decision-making, low bureaucracy, Join at a strong growth stage
- Ideas move from concept to production quickly
- Work with an international, high-calibre engineering team
