Team Lead, GDC AI and Connected Storage

Google•Kirkland, WA

3d•$262,000 - $364,000

About The Position

As a software engineer at Google, you will develop technologies and software solutions that operate at massive scale. You will manage project priorities, deadlines, and deliverables, and design, develop, test, deploy, maintain, and enhance software. The role focuses on technical leadership for Storage Platform Engineering, with emphasis on GDC AI storage, storage features, and management within the GDC ecosystem. You will improve storage performance, reliability, security, and architecture to support AI/ML workloads and customer solutions on GDC. Google Cloud provides enterprise-grade solutions and tools to customers in more than 200 countries and territories. Individual pay is determined by job-related skills, experience, and relevant education or training. Compensation in the US is $262,000–$364,000, plus a 25% bonus target, equity, and benefits.

Requirements

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.

Nice To Haves

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.

Responsibilities

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 IOPS, throughput, and latency requirements, using tools such as fio for benchmarking.
Build and enhance observability, monitoring, alerting, and automated remediation to support 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 storage architecture to support AI/ML workloads and collaborate with partner teams so customers can run AI solutions on GDC.
Manage project priorities, deadlines, and deliverables; design, develop, test, deploy, maintain, and enhance software solutions.