Software Engineer, Agent Cloud Rate Limiting

Google•Sunnyvale, CA

2d•$147,000 - $210,000

About The Position

Google software engineers develop technologies used by billions of people and work on projects critical to Google’s needs. They are expected to bring fresh ideas, demonstrate leadership, take on new problems, and contribute across the full stack as the business evolves. This role is part of the Agent Cloud initiative, which is evolving Google Cloud to manage the distinct challenges of non-deterministic AI agents and workloads. The team connects traditional Cloud networking with the agentic ecosystem by using infrastructure systems such as Bouncer, QuotaServer, and QuotaStore to provide quota and rate-limiting infrastructure under Agent Gateway, which secures and governs agent-to-agent and agent-to-tool communications. Google Cloud provides enterprise-grade solutions and tools to help organizations digitally transform and build more sustainably. The listed US compensation is $147,000–$210,000, plus a 15% bonus target, equity, and benefits. Individual pay depends on job-related skills, experience, and relevant education or training.

Requirements

Bachelor’s degree or equivalent practical experience.
At least 2 years of software development experience, or 1 year of experience in an industry setting with an advanced degree.
At least 2 years of experience developing large-scale infrastructure, distributed systems, or networks, or experience with compute technologies, storage, or hardware architecture.

Nice To Haves

Master’s degree or PhD in Computer Science or a related technical field.
At least 2 years of experience with data structures and algorithms.
Experience programming in C or C++.
Experience in Generative AI.

Responsibilities

Write product or system development code.
Participate in or lead design reviews with peers and stakeholders to decide among available technologies.
Review other developers’ code and provide feedback to ensure best practices, including style, code submission, accuracy, testability, and efficiency.
Contribute to existing documentation or educational content and adapt it based on product or program updates and user feedback.
Triage product or system issues and debug, track, and resolve them by analyzing their sources and impact on hardware, network, or service operations and quality.