Partner with leadership and stakeholders to advocate the autonomous storage roadmap, transforming storage intelligence into a core agentic AI-driven product.

Provide technical leadership to design architectures that improve GenAI accuracy, security, and metadata tagging for AI research and developer productivity.

Lead on-call efforts to meet service level objectives (SLOs) and ensure all infrastructure and rollouts comply with Google’s principles for security, performance, and reliability.

Scale and automate service deployments to manage billions of objects while delivering intelligent agents that optimize storage costs and security posture.

Build an engineering culture by establishing best practices, mentoring junior engineers, and collaborating across GCS teams to drive execution.

Bachelor’s degree or equivalent practical experience.

8 years of experience in software development.

7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

5 years of experience with design and architecture; and testing/launching software products.