About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

Google Cloud Storage (GCS) is a planet-scale distributed system managing exabytes of data for global enterprises and services like Gmail and YouTube.

In this role, you will focus on Storage Intelligence Agentic AI, a unique opportunity to build autonomous storage - agentic management at scale" and transform our product into an agentic storage management system. You will leverage AI workflows to deliver developer productivity through intelligent agents that optimize costs and security, while also increasing researcher productivity by automating metadata tagging for training jobs. Collaborating closely with program managers (PMs) and tech leads (TLs), you will design the core architecture and drive the delivery of a high-accuracy, consistent AI experience for our customers.
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.

The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• 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.

Minimum qualifications

• 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.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 8 years of experience with data structures and algorithms.

• 5 years of experience in a technical leadership role leading project teams and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

• Experience working with GenAI technologies (e.g., leveraging Large Language Models in application development).

• Experience with large-scale distributed storage infrastructure systems.