Staff Software Engineer, AI/ML, Google Cloud Security

Google; Reston (VA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Health insurance

Job summary

Google's Defense and Consulting Engineering team within Google Cloud Security seeks a software engineer to lead AI integration and secure large-scale systems. You will influence product and engineering practices, with a focus on attacker-resistant design and scalable security platforms.

You will drive security architecture, mentor cross-functional teams, and help scale agentic AI across products and services, while delivering impact at enterprise scale.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience leading technical projects and providing technical leadership to cross-functional teams.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
• Lead the integration of AI into both products and engineering practices, driving business and platform evolution.
• Drive the strategy and design of security systems that provide defenders with advanced, AI-powered automation to seamlessly detect, manage and resolve complex security events.
• Lead the technical design of a scalable platform where security teams can discover, deploy, and generate intelligent integrations, unifying and optimizing their end-to-end SOC workflows.
• Oversee the engineering of self-service architectures and AI-based onboarding and adoption, minimizing friction and accelerating time-to-value for new customers.

Skills

Software development

ML design & infra

AI/LLM integration

Technical leadership

Security-focused engineering

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; New York, NY, USA.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience leading technical projects and providing technical leadership to cross-functional teams.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience with Generative AI, Agentic AI, and Large Language Models (LLMs).
• Experience in scalable and available distributed systems, cloud services, or data platforms.
• Experience establishing organization-wide LLM evaluation, safety, and alignment frameworks.
• Experience in the security domain, applying AI to security operations.

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.

The Defense and Consulting Engineering team within Google Cloud Security is on a relentless mission to make organizations secure against cyber threats, confident in their readiness, and know they are never alone. We are at the forefront of the Agentic SOC strategy, revolutionizing how security organizations defend against emerging threats, accelerating customer time-to-value, and cultivating an intelligent ecosystem to optimize security workflows. Our team is passionate about giving the defender's advantage to find evil in the most advanced attacks, being incredibly efficient in their work and leveraging exceptional technologies and threat intelligence.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
• Lead the integration of AI into both products and engineering practices, driving business and platform evolution.
• Drive the strategy and design of security systems that provide defenders with advanced, AI-powered automation to seamlessly detect, manage and resolve complex security events.
• Lead the technical design of a scalable platform where security teams can discover, deploy, and generate intelligent integrations, unifying and optimizing their end-to-end SOC workflows.
• Oversee the engineering of self-service architectures and AI-based onboarding and adoption, minimizing friction and accelerating time-to-value for new customers.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .