Deskripsi Pekerjaan
At Gauss Robotics, we are making robotics a commodity by automating the engineering processes behind it. Our automation platform combines artificial intelligence, cloud-native infrastructure, simulation technology, and robotics to dramatically simplify how robotic systems are designed, deployed, and operated. Unlike many software companies, our systems do not stop at the cloud. The infrastructure you build will power real robotic systems performing work on the shopfloor of factories. We're looking for a Senior DevOps Engineer who builds and owns the critical cloud infrastructure behind our AI-powered robotics systems. Someone who understands cloud architecture, networking, distributed systems, Kubernetes, and software engineering. Someone who can make architectural decisions, write production code, debug complex systems. Someone who takes ownership. Within your first year, you will: Help our platform scale as customer adoption grows. Improve the reliability and scalability of our robotics cloud & edge infrastructure. Raise engineering standards around observability, security, and operations. Eliminate operational bottlenecks through automation and better architecture. Influence major technical decisions across our tech stack. This full-time position is based in Braunschweig. While we offer hybrid flexibility, we value in-person collaboration and expect team members to be on-site 2–3 days per week. Tasks Design, build, and evolve our cloud infrastructure on AWS. Own our Kubernetes platform running on AWS EKS. Design networking architectures that are secure, scalable, and operationally simple using Tailscale, Kubernetes, Istio. Build and maintain Infrastructure-as-Code using Pulumi and TypeScript. Develop and improve GitOps workflows using GitHub and ArgoCD. Build IaC, tooling, and automation in TypeScript and Python. Improve observability using Prometheus, Grafana, and modern monitoring practices. Troubleshoot and resolve complex production incidents across cloud infrastructure, Kubernetes, networking, applications, and robotics systems running on Linux. Make architecture decisions that influence the future direction of our platform. Work directly with software engineers, robotics engineers, and leadership to scale the business. Requirements Sound practical experience with the aforementioned tech stack Extensive hands-on Kubernetes experience in production environments. Strong cloud architecture experience on AWS. Deep understanding of networking fundamentals. Practical experience with cloud networking and security. Good software engineering skills. Experience writing production code in TypeScript and Python. Experience making architectural decisions and understanding their long-term consequences. A strong bias toward automation and simplification. Most importantly, you are someone who follows problems all the way to their root cause. You do not stop when a workaround has been found. You keep digging until the underlying issue is understood and pe