Staff Software Engineer, Agent-Centric Data and APIs

As a Staff Software Engineer specializing in agent-centric data and APIs for Google Cloud AI Agents, you will lead the design and delivery of data pipelines, APIs, and tooling across full-stack development within a collaborative, cross-functional environment.

Location

San Francisco, CA (onsite)

Compensation

Annual base salary range of USD 207,000 to 301,000, with a target bonus of 20%, plus equity and benefits.

Responsibilities

• Provide technical leadership on high impact projects across the software lifecycle.
• Set priorities, manage deadlines, and oversee deliverables to align with program goals.
• Architect, develop, test, deploy, and maintain large-scale software solutions with a focus on reliability and scalability.
• Collaborate with partners across Google Cloud Platform to design and launch data pipelines powering GCP native AI Agents.
• Develop and deploy APIs and MCP servers to make data accessible to both first-party and third-party agents.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 5 years of full-stack development experience, across backend languages such as Java, Python, Go, or C++, and frontend technologies including JavaScript, TypeScript, HTML, and CSS or equivalents.
• Experience integrating generative AI tools or large language model interfaces into workflows.
• Experience in software engineering for generative AI agents and demonstrated cross-functional collaboration.

Technologies

• Java
• Python
• Go (Golang)
• C++
• JavaScript
• TypeScript
• HTML
• CSS
• Google Cloud Platform (GCP)
• Gemini models
• MCP servers

About the Job

At Google, software engineers build next generation technologies used by billions to connect, explore, and interact with information. The Cloud Optimize team's mandate is to reduce cost and improve performance for Google Cloud Platform customers by leveraging data and pipelines that span multiple Cloud products. You will help define the datasets, integrate them with existing resources, and supply these data assets to both first-party and third-party agents that rely on them. The optimization focus encompasses cost, performance, and capacity, with an aim to empower developers to autonomously optimize applications through agent skills and tooling built for Gemini models. Google Cloud delivers enterprise-grade solutions that enable digital transformation at scale, supported by diverse benefits and compensation structures.

US compensation for this role ranges from USD 207,000 to USD 301,000, plus a 20% target bonus, equity, and benefits. Benefits details are provided by Google.