Senior Cloud Networking Engineer — Kubernetes & GKE

Google; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google in Sunnyvale, CA is seeking a software engineer specializing in large-scale networking and cloud infrastructure. You will design and implement networking features for Kubernetes-driven environments, contribute to GKE/GDC networking, and collaborate with product teams to refine roadmaps.

The role emphasizes strong knowledge of TCP/IP, BGP, data structures, and distributed systems, with opportunities to work across full-stack areas, including security, storage, and AI/ML workloads.

Qualifications

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

Responsibilities

• Lead design reviews and select technologies with peers and stakeholders.
• Triage issues affecting hardware, network, or service operations and quality.
• Design and implement networking features for AI/ML workloads on GDC/Kubernetes.
• Develop network connectivity solutions for hybrid/multi-cloud environments.
• Collaborate with the open source community to steer Kubernetes networking direction.

Skills

Go development

C development

Python development

Networking protocols TCP/IP

BGP

Network design

Cloud platforms Kubernetes

Education

Bachelor's degree or equivalent practical experience

Tools

Kubernetes

Open vSwitch

eBPF

Cloud Functions

Linux kernel networking

Job description

Google in Sunnyvale, CA is seeking a software engineer specializing in large-scale networking and cloud infrastructure. You will design and implement networking features for Kubernetes-driven environments, contribute to GKE/GDC networking, and collaborate with product teams to refine roadmaps.

The role emphasizes strong knowledge of TCP/IP, BGP, data structures, and distributed systems, with opportunities to work across full-stack areas, including security, storage, and AI/ML workloads.