Senior Staff Software Engineer, AI-Empowered, Fraud and Abuse Security

MINIMUM QUALIFICATIONS:

* Bachelor’s degree in Computer Science, a related technical field, or

equivalent practical experience.

* 8 years of experience with software development in one or more programming

languages (e.g., Python, Go, C++, Java).

* 5 years of experience designing, building, and testing large-scale

distributed systems or infrastructure services.

* 1 year of experience with AI/ML infrastructure (e.g., model deployment, model

evaluation, optimization, data processing, debugging).

* Experience leading project teams, defining technical roadmaps, and setting

engineering standards.

* Experience in designing and evaluating AI-assisted tools or automation

workflows.

PREFERRED QUALIFICATIONS:

* Experience in anti-abuse, ad fraud detection, cybersecurity, or managing

traffic quality systems.

* Experience designing, optimizing, or evaluating Generative AI solutions,

LLM-based applications, or multi-agent orchestration systems.

* Experience building and deploying large-scale machine learning systems for

fraud and abuse or security applications (e.g., fraud prevention or intrusion

detection).

* Advanced proficiency in the security assessment and design of global-scale

distributed systems, with experience implementing end-to-end security

controls (e.g., secure SDLC, automated vulnerability discovery, or threat

analysis).

* Familiarity with Google's security products, services, and underlying

infrastructure.

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.

With your technical expertise you will manage project priorities, deadlines, and

deliverables. You will design, develop, test, deploy, maintain, and enhance

software solutions.

The mission of Google Cloud Platform (GCP) Cyber Defense Center is to deliver

unified security incident, vulnerability, and cloud-abuse management across the

Cloud stack.

In this role, you will

• architect for GCPs Fraud and Abuse detection and
• mitigation platforms. You will manage ambiguous, large-scale systems problems at
• the intersection of security and ML, defining the technical direction for
• multiple teams. You will design and optimize AI-enabled defense solutions,
• establish security standards for AI infrastructure, and leverage data to drive
• critical architectural decisions. You will be a key partner to engineering
• leadership, guiding the technical roadmap and mentoring the next generation of
• AI and security experts.
• 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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
• Learn more about benefits at Google
• [https://www.google.com/about/careers/applications/benefits/].
• RESPONSIBILITIES:
• * Architect and scale robust, secure platforms that automate security checks
• across Google Cloud’s developer pipeline and production systems.
• * Design, optimize, and evaluate AI-driven security capabilities, leading the
• identification of AI opportunities across fraud and abuse engineering
• including direct coding and model architecture.
• * Establish engineering and security standards for large-scale distributed
• systems, ensuring robust end-to-end security.
• * Analyze and distill complex technical and security data to drive key
• organizational decisions and roadmap prioritization.
• * Provide technical leadership for multiple teams, vet system designs, and
• mentor executive engineers to help them grow into technical leaders in AI and
• security.