What you'll do We're looking for a capable, self-driven Sr. Backend / DevOps Engineer with 5+ years in distributed systems and cloud-native architectures. In this role, you design and scale distributed AI infrastructure, optimize performance across diverse ML workloads, and ensure secure, reliable deployments. You work hands-on on microservices, CI/CD, and multi-cloud environments to support enterprise-scale AI. Key Responsibilities Design and Modernize Backend Architecture Build and Scale Distributed AI Infrastructure Optimize Performance Implement CI/CD Pipelines Drive MLOps Strengthen Security What we're looking for 5+ years in distributed systems and cloud architecture. Strong Python/Django with ML integrations Develop and maintain unit test suites with pytest to ensure code quality Proficiency with Kubernetes and containerized deployments Experience with CI/CD pipelines and DevOps practices Knowledge of database optimization and scaling Background in building distributed, scalable AI infrastructure You are a technology generalist and comfortable working in early-stage startups Nice to have Federated learning and distributed ML systems Edge computing GPU optimization and high-performance computing What we offer Impactful Work: Shape how data scientists and AI teams collaborate securely Growth Opportunities: Work with an experienced leadership team and cutting-edge tech Competitive Compensation: Upper-market salary, performance incentives, and equity options Vibrant Culture: Flexible working, diverse team, and creative autonomy in central Berlin