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.

Google Cloud Storage (GCS) builds a planet-scale distributed storage system that manages exabytes of data for global enterprises, startups, and Google's core services (like Drive, Gmail, and YouTube).

As a Software Engineer on the Storage Intelligence Agents team, you will drive the GCS Autonomous Storage Management charter by building Agentic AI solutions. Collaborating closely with Product Managers and Technical Leads, you will design and build the core architecture of AI products that efficiently manage billions of cloud objects, ensuring a seamless, highly accurate, and reliable experience for cloud operators.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 $147,000-$211,000 + 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

• Write product or system development code.

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

• Design and build intelligent Storage AI Agents that automate customer storage management tasks, automatically tag data to assist AI researchers, and drive ongoing GenAI accuracy and security improvements.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in one or more programming languages such as C++, Golang, Java, or 1 year of experience with an advanced degree.

• Experience with large-scale distributed infrastructure systems.

• Experience with AI/ML systems in a customer facing production environment.

• Experience in Generative AI (e.g., large language models, multi-modal, model training and evaluation).

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.

• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or cloud storage.

• Experience in Google technologies and platforms.

• Experience building high-volume data pipelines and resolving complex system scalability bottlenecks.

• Ability to troubleshoot and mitigate production incidents under strict service level agreements (SLAs) to minimize customer impact.

• Passionate about enterprise products, with a focus on growing our Cloud offerings in the space.