Team Lead – GDC AI and Connected Storage

• Lead technical direction for Storage Platform Engineering, focusing on GDC AI storage, features, and management within the GDC ecosystem.
• Define, measure, and optimize storage performance to meet stringent IOPS, throughput, and latency requirements using tools like fio for comprehensive benchmarking.
• Build and enhance observability, monitoring, alerting, and automated remediation capabilities to ensure high availability and smooth operation of file and block storage components.
• Implement secure, isolated storage environments for multiple tenants using ONTAP Storage Virtual Machines (SVMs), Role-Based Access Control (RBAC), and Storage Grid.
• Enhance the storage architecture to support AI/ML workloads and collaborate with partner teams to ensure customers can run their AI solutions on GDC.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• Experience in cloud storage and the overall public cloud ecosystem including customer requirements, market trends, and engaged positioning.
• Experience designing software architecture for applications, including AI/ML systems.
• Experience in technical leadership.

Preferred qualifications:

• Experience leading technical projects across functional areas in compute or storage.
• Experience working with cloud platforms.
• Experience working with Kubernetes or container orchestration frameworks.
• Experience programming in Go.
• Experience with systematic performance benchmarking and tuning.
• Experience with distributed storage systems.

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.

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.In most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• Experience in cloud storage and the overall public cloud ecosystem including customer requirements, market trends, and engaged positioning.
• Experience designing software architecture for applications, including AI/ML systems.
• Experience in technical leadership.