Software Engineer, Google Cloud Storage

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in C++, Go, or Python.
• 2 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 2 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or cloud storage.
• Experience with cloud compute platforms such as Kubernetes and Cloud Functions.

Preferred qualifications

• Master’s degree or PhD in Computer Science or a related technical field.
• Experience with systematic performance benchmarking and optimization.
• Experience with Kubernetes or container orchestration frameworks.
• Experience developing accessible technologies.
• Experience in Golang.

About the job

Software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Products operate at massive scale and extend beyond web search.

Engineers work on projects critical to business needs, with opportunities to switch teams and projects as the business evolves. The role requires versatility, leadership, and enthusiasm for solving new full-stack problems across areas such as information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.

The Google Distributed Cloud Storage Everywhere team builds storage solutions that enable applications to run seamlessly across data centers, edge environments, and the cloud. Google Cloud delivers enterprise-grade solutions and tools that help developers build more sustainably.

Responsibilities

• Address and resolve complex issues through the Root-Cause/Remediation (RCR) process, including identifying and closing test gaps with unit, integration, and chaos testing.
• Implement secure, isolated storage environments for multiple tenants using Open Network Technology for Appliance Products (ONTAP) Storage Virtual Machines (SVMs) and Role-Based Access Control (RBAC).
• Design, develop, and integrate core file and block storage features and management within the Google Distributed Cloud Hosted (GDCH) ecosystem.
• Define, measure, and optimize storage performance to meet stringent input/output operations per second (IOPS), throughput, and latency requirements, using Google Cloud best practices and frontline intelligence operations for comprehensive benchmarking and performance characterization.