Senior Software Engineer, Google Cloud Kubernetes Networking

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Job positions in GKE and GDC networking area demand solid networking knowledge and understanding of how networking powers virtualized environments. The team evaluates various integration and OSS technologies, designs and build final integrated solutions and productize it. You will also need some familiarity with Kubernetes Networking, getting exposure to the flexibility and popularity of eBPF, OpenvSwitch frameworks to enable changing development on top-notch networking features as well as the complex architecture of GDC platform. In this role, you will work will the product team and the leadership in GKE/GDC networking organization to collaborate, define and refine the roadmap and strategy for Kubernetes Networking for both GDC and GKE platforms.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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 GDC platforms. alization 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:

• 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).

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.