Staff Software Engineer, AI/ML, Google Cloud Security

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.
• - 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.

Minimum qualifications:

Preferred qualifications:

Qualifications

• 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.