Senior Software Engineer, Google Cloud Kubernetes Networking

Experteer Overview As a Software Engineer in Google’s GKE/GDC networking team, you design and ship networking features powering AI/ML workloads at-scale. You’ll collaborate with product and leadership to shape Kubernetes networking strategy and leverage OSS tech to advance cloud networking. Your work will influence virtualized environments and multi-cloud connectivity, enabling reliable production clusters. This role offers broad exposure to distributed systems, kernel-level concepts, and open source collaboration within a fast-paced, innovative culture. Compensation / Benefits * Participate in design reviews with peers and stakeholders to choose among technologies * Triage and debug product or system issues affecting hardware, network, or service operations and quality * Design and implement networking features to enable AI/ML workloads on GDC platforms * Develop network connectivity solutions for hybrid/multi-cloud environments across data plane and control plane elements * Collaborate with the open source community to influence Kubernetes networking direction Tasks * Bachelor’s degree or equivalent practical experience * 5 years in software development with Go, C, or Python * 5 years in network architectures, protocols (e.g., TCP/IP, BGP), and technologies * 5 years in network design, implementation, and troubleshooting * 3 years in developing large-scale infrastructure, distributed systems, or related compute/storage/hardware architectures * Experience with Cloud compute platforms (e.g., Kubernetes, Cloud Functions) Key requirements *

role with the open source community to influence Kubernetes networking direction Tasks * Bachelor’s degree or equivalent practical experience * 5 years in software development with Go, C, or Python * 5 years in network architectures, protocols (e.g., TCP/IP, BGP), and technologies * 5 years in network design, implementation, and troubleshooting * 3 years in developing large-scale infrastructure, distributed systems, or related compute/storage/hardware architectures * Experience with Cloud compute platforms (e.g., Kubernetes, Cloud Functions) Key requirements *