Software Engineer, AI Agent Security

Google•Apply•Published 8 hours ago•First seen 8 hours ago

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.

As a Software Engineer on the Distributed Runtime Trust (DRT) team, you will have the opportunity of building the next generation, foundational infrastructure necessary to secure agent interactions across different environments. This is an emerging space with high customer impact and demand. You will work on both client-side runtimes and backend orchestration services to provision, govern, and attest agent identities across GCP and non-GCP environments. Your work will directly enable governed access between agents, tools, and services, acting as a critical catalyst to scale the agent ecosystem for Google Cloud. This position requires in-person interviews as part of the hiring process.

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Collaborate closely with cross-functional security and platform teams to unlock the Agent Cloud ecosystem for distributed enterprise environments.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Design and develop next generation foundational infrastructure that establish verifiable trust and identity for AI agents running in hybrid Cloud environments bridging the gap between managed and off-premise infrastructure.
Develop scalable backend orchestration services to handle runtime enrollment, agent identity provisioning, and token binding.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Experience building and developing large-scale infrastructure or distributed systems.
Experience with Google Cloud Platform or other similar cloud technologies.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience with GCP and Google enterprise infrastructure security.
Experience developing accessible technologies.
Familiarity with GenAI Agents and building secure infrastructure to support them across distributed, multi-cloud, or on-premise environments.