Senior Software Engineer, AI Agent Security

Google; Kirkland (WA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health, dental, vision, life, and long

401(k) with company match

20 days vacation per year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google Kirland, WA seeks a Senior Software Engineer for AI Agent Security to help secure agent interactions across environments. You will work on client-side runtimes and back-end orchestration, provisioning and attesting agent identities in GCP and non-GCP settings, enabling governed access between agents and services.

The role emphasizes distributed runtime trust, cross‑functional collaboration, and building scalable infrastructure with exposure to security and AI workloads at scale.

Qualifications

• 5 years building large-scale infrastructure, distributed systems, or related compute/storage architecture.
• 5 years DS/algorithms and software development in Go/Java/C++, or 1 year with an advanced degree.
• Experience with Google Cloud Platform or other cloud technologies.

Responsibilities

• Write product or system development code.
• Lead design reviews with peers and stakeholders for technology choices; collaborate with cross-functional security and platform teams.
• Triage issues and debug across hardware, network, or service operations.
• Design and develop foundational infrastructure to establish verifiable trust and identity for AI agents.
• Develop scalable back-end orchestration to manage runtime enrollment and agent identity provisioning.

Skills

Mentoring

Problem solving

Leadership

Progress tracking

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Computer Science or related field

Tools

Google Cloud Platform

Job description

Senior Software Engineer, AI Agent Security

Kirkland, WA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience with data structures and algorithms and software development in one or more programming languages (e.g., Go, Java, or C++), or 1 year of experience with an advanced degree in an industry setting.
• 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.
• 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.

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.

As a Senior 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 environments. This is an emerging space with high customer impact and demand. You will work on both client-side runtimes and back-end orchestration services to provision, govern, and attest agent identities across Google Cloud Platform (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: $174000 - $252000 (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 back‑end orchestration services to manage runtime enrollment, agent identity provisioning, and token binding.

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