Senior Software Engineer, Rate Limiting and Token Management

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming

languages.

• 3 years of experience testing, maintaining, or launching software products,

and 1 year of experience with software design and architecture.

• 3 years of experience with developing large-scale infrastructure, distributed

systems or networks, or experience with compute technologies, storage or

hardware architecture.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science, or a related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.

• Experience in one or more of the following: Java, C/C++.
• Experience in Generative AI.

ABOUT THE JOB:

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.

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, QuotaServer,

QuotaStore 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

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Design and operate globally distributed systems paths that handle millions of

queries across multiple regions.

• Build distributed scheduling, dynamic reservation, and fair-sharing tuned to

how LLMs actually behave — token-by-token streaming, bursty agent loops,

speculative decoding, and prompt caching.

• Build self-healing systems with solid failover, fast coordination, and the

telemetry needed to hit five-nines (99.999%) availability.

• Set the architectural direction for token orchestration and distribution

across Cloud.