Staff Software Engineer - Load Balancing and Agent Gateway

Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Their products handle information at massive scale and extend beyond web search. Engineers work on projects critical to Google’s needs with opportunities to switch teams and projects as the business grows. The role involves designing and leading feature development across the stack, from Kubernetes Gateway API controllers in Google Kubernetes Engine (GKE) to underlying L7LB services. The work enhances performance and scalability for AI workloads and contributes to the upstream Kubernetes open-source project. Google Cloud delivers enterprise-grade solutions leveraging Google’s technology to help developers build sustainably, serving customers in more than 200 countries and territories.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 5 years of experience in a technical leadership role.
• 3 years of experience with software design and architecture.
• Experience with networking protocols (e.g., TCP/IP, BGP, OSPF, MPLS).

Nice to have:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience designing and implementing scalable solutions using Kubernetes.

• Design, develop, test, and maintain features for the GKE Agent Gateway, enhancing its capabilities for AI/ML workloads and contribute to the GKE Gateway controller OSS community as a lead on Inference.
• Collaborate with Load Balancing development teams on requirements and integrations with Google Cloud Load Balancers (e.g., Envoy features and Service Extensions).
• Engage with and contribute to the upstream OSS Kubernetes Gateway API project.
• Work with AI/ML platform teams to ensure optimal routing, load balancing, and autoscaling for inference serving.
• Develop solutions that span both the Kubernetes control plane and the load balancing data plane and constantly work on improving observability, testability, and reliability of the Inference Gateway.