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.
As a Software Engineer in this role, you will design and lead features development across the stack, from the Kubernetes Gateway API controllers in Google Kubernetes Engine (GKE) to the underlying L7LB services.
Your work will directly enhance performance and scalability for AI workloads, and you'll also have the opportunity to contribute key components to the upstream Kubernetes open-source project.
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.
Responsibilities
- 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.
Qualifications
Minimum qualifications:
- 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).
Preferred qualifications:
- 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.