Staff Software Engineer, Core Infrastructure

Staff Software Engineer, Core Infrastructure Department: Engineering Team: Backend Location: Aarhus, Denmark Type: Full-Time **About the Role** Our Core Infrastructure team in Aarhus is at the forefront of building and scaling mission-critical systems that power Uber globally, enabling 180M users and more than 1B rides per month. We focus on improving quality, security, modernization, and efficiency across Uber’s backend infrastructure. Our work spans safe deployment, encryption, Kubernetes adoption, workload automation, autoscaling, and adoption of ARM. As a Staff Engineer, you will lead the design and execution of impactful, cross-team backend projects, improve developer efficiency and resilience, and help define the technical direction for infrastructure components through cutting-edge technologies and scalable engineering practices. **What You Will Do** 1. Design and implement backend infrastructure components to support Uber’s growing workloads, including deployment engines, autoscalers, and hybrid cloud environments. 2. Lead cross-team projects focused on safe deployment and rollback automation across stateless, stateful, and batch workloads, improving resilience and developer efficiency. 3. Improve infrastructure security and compliance, including encryption-at-rest, ransomware mitigation, and cloud security best practices. 4. Contribute to and drive modernization efforts within the team and across related teams, including Kubernetes migration, unified workload platforms, and PaaS improvements. 5. Optimize Uber’s infrastructure efficiency, focusing on ARM adoption, autoscaling enhancements, and cost-effective compute allocation. 6. Proactively mentor other engineers and help define the technical direction for your team, ensuring Uber’s backend infrastructure remains reliable, scalable, and efficient. **What You Will Need / Bonus Points** Basic Qualifications 1. 8+ years of experience in backend software development with distributed systems, infrastructure, or cloud platforms. 2. Strong expertise in Go, Java, or similar backend languages, with a deep understanding of Kubernet