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Senior Software Engineer, Google Cloud Kubernetes Networking
Google
Sunnyvale, USA
Senior · 5+ years experience
USD 174000-252000 / year
Discovered 2 weeks ago
gcpkuberneteslinuxpython
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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.
- - 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.
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