Senior Software Engineer, Google Cloud Kubernetes Networking

Responsibilities

• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Design and implement new networking features to enable AI/ML workloads in Google Distributed Cloud (GDC) platforms. Virtualization solutions for Container/VM workloads running on Kubernetes platforms.
• Design and develop network connectivity solution for hybrid/multi cloud, involving data plane and control plane elements while helping external Customers who hit issues in production clusters.
• Engage with the open source community to help shape the direction of networking in Kubernetes.

Minimum qualifications:

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• Experience with cloud environments.
• Familiarity with Compute, Networking and Storage modules in Linux Kernels, CPU scheduling, resource allocation, cgroups, RTOS, RCU.
• Knowledge of core networking concepts (various layers of networking IPv4, IPv6, iptables, L4/L7 load balancing, DNS) and Knowledge of Networking components at kernel-level on Windows (optional) and Linux OSs.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Go, C or Python.
• 5 years of experience with network architectures, protocols (e.g., TCP/IP, BGP), and technologies.
• 5 years of experience with network design, implementation, and troubleshooting.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience with Cloud compute platforms (e.g., Kubernetes, Cloud Functions).