Google Cloud Storage (GCS) is seeking a Senior Staff Software Engineer to lead the development of their global-scale object storage system that manages exabytes of data. This role combines distributed systems expertise with cloud storage innovation, focusing on making GCS the premier storage solution for AI/ML workloads.
The position offers an opportunity to work on critical infrastructure that powers both Google Cloud customers and Google's internal services. You'll be part of the GCS AI/ML Solutions team, developing products like GCS Fuse and providing performant file interfaces. The role requires deep technical expertise in distributed systems, file systems, and storage management.
As a technical leader, you'll guide a team in designing and implementing new features while ensuring system scalability and performance. You'll work on challenging problems in data replication, consistency models, and fault tolerance. The role involves collaboration across teams and requires both technical depth and leadership skills.
The compensation package is competitive, ranging from $248,000 to $349,000 base salary, plus bonus, equity, and comprehensive benefits. Google offers multiple location options including Seattle, Sunnyvale, Cambridge, New York, Durham, and Raleigh, providing flexibility for candidates.
This is an excellent opportunity for experienced engineers who want to impact billions of users while working with cutting-edge technology in cloud storage and AI/ML infrastructure. The role combines technical challenges with leadership opportunities, making it ideal for those looking to advance their careers in distributed systems and cloud infrastructure.