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Job Description

  • 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:

  • 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.
  • 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).
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  • Role Senior Software Engineer, Google Cloud Kubernetes Networking
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
18 hours ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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