Senior Software Engineer, Rate Limiting and Token Management
Listed on 2026-09-04
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Software Development
AI Engineer (Applied/Software), Software Engineer, Cloud Engineer - Software
Senior Software Engineer, Rate Limiting and Token Management
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.
The Agent Cloud initiative is evolving Google Cloud to handle the unique challenges of non-deterministic AI agents and workloads. Our team bridges the gap between traditional Cloud networking and the new agentic ecosystem by leveraging traditional infrastructure systems like Bouncer, Quota Server, Quota Store to provide quota and rate limiting infrastructure under Agent Gateway, the central conduit securing and governing agent-to-agent and agent-to-tool communications.
You will be handling critical industry challenges: LLM token quota management and backend overload protection. You will design the infrastructure that prevents runaway AI costs, ensures fair share of LLM capacity, and protects enterprise AI agents from DDoS and abuse.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
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