Software Engineer III, Agentic AI Systems, Cloud Security

Google Inc.

San Francisco (CA)

On-site

USD 147,000 - 210,000

Full time

13 days ago

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Job summary

Google is seeking a Software Engineer III for Agentic AI Systems within Cloud Security in San Francisco, CA. The role combines software engineering with GenAI capabilities to advance autonomous agentic SOC for AI-driven cybersecurity solutions.

You will contribute to the AI platform and capabilities for Google SecOps, building systems that reason, investigate, and defend against fast-moving threats while collaborating across teams to push security technology forward.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year with an advanced degree.
  • 1 year of experience with ML infrastructure (e.g., model deployment, evaluation, optimization, data processing, debugging).
  • Experience with state-of-the-art GenAI techniques (LLMs, multimodal, vision) or related concepts.

Responsibilities

  • Write product or system development code. Collaborate through design and code reviews to ensure best practices.
  • Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
  • Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance improvements.
  • Develop and launch next-generation Agentic features for Google SecOps; build AI platforms to support agent development.
  • Scale the product and defend the enterprises from emerging threats.

Skills

Software development
ML infrastructure
GenAI techniques
Problem solving

Education

Bachelor’s degree or equivalent practical experience
Master’s degree or PhD (preferred)

Job description

Software Engineer III, Agentic AI Systems, Cloud Security
  • link Copy link
Google San Francisco, CA, USA
Mid

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

X In most instances, this position requires in-person interviews as part of the hiring process. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
  • Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 2 years of experience with data structures and algorithms.
  • Experience in security domains.
  • Experience in highly scalable and available distributed systems, cloud services or data platforms.
  • Proven experience in building and deploying Agentic AI systems.
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 an AI Engineer, you will contribute to the research, design, development, and operational excellence of the Agentic Platform and Capabilities for Google SecOps. This role is critical for turbocharging and enabling autonomous agentic SOC for the next wave of AI-driven cybersecurity solutions. You will build AI platforms, systems and sgents that can reason, investigate, and defend against 22-second attacks.

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 .

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 an AI Engineer, you will contribute to the research, design, development, and operational excellence of the Agentic Platform and Capabilities for Google SecOps. This role is critical for turbocharging and enabling autonomous agentic SOC for the next wave of AI-driven cybersecurity solutions. You will build AI platforms, systems and sgents that can reason, investigate, and defend against 22-second attacks.

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.

  • Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
  • Develop and launch of next-generation Agentic features for Google SecOps. Develop foundational AI platform to support and accelerate security sgents development.
  • Scale the product and defend the enterprises from emerging threats

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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