Senior Software Engineer, Cloud AI, Agent Governance

Senior Staff Software Engineer, Cloud AI, Agent Governance

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Cloud is building the most comprehensive AI platform in the industry. As platform adoption scales, enterprise customers require stable, highly scalable, and completely secure simulation environments and evaluation infrastructure to operationalize autonomous agents. This role focuses on the systems and platform engineering required to close the last mile of agentic governance for enterprise deployments.

You will lead the delivery of the engineering roadmap, integrating components from multiple product teams to build an intuitive governance user experience for CISOs, auditors, and enterprise IT teams.

Responsibilities:

• Architect, build, and operate large-scale environments that allow developers to test complex agent behaviors, tool calling, multi-turn workflows, and end-to-end workflows in isolated, reproducible sandboxes.
• Deliver reproducible evaluation infrastructure and automated test harnesses capable of validating against enterprise visibility, security, compliance requirements.
• Design and scale the platform infrastructure that enables agentic systems to validate online and audit offline and alert based on behavioral patterns.
• Build the metrics engines and dashboards to track evaluation coverage, semantic correctness, quality metrics, and regression signals over time.
• Standardize the use of metrics for production health.
• Integrate evaluation runs into deployment pipelines, creating release gates to prevent semantic and structural regressions before agent deployments reach production.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits.