Software Engineer, Google Cloud Storage

Software Engineer, Google Cloud Storage corporate_fare Google place Raleigh, NC, USA ; Durham, NC, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. info_outline

X Note:

By applying to this position you will have an opportunity to your preferred working location from the following: Raleigh, NC, USA; Durham, NC, USA .

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 with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or cloud storage. Experience with Cloud compute platforms like Kubernetes, Cloud Functions.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field. Experience with systematic performance benhmarking and optimization. Experience with kubernetes or container orchestration frameworks. Experience developing accessible technologies. Experience in Golang. 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 is bringing our cloud anywhere with Google Distributed Cloud (GDC) in your data center, at the edge, and in the cloud. The Google Distributed Cloud Storage everywhere team is building the storage solutions to allow applications to seamlessly run across all of these environments. 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. 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 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 . Responsibilities Address and resolve complex issues through our 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 leveraging Open Network Technology for Appliance Products (ONTAP's) 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. We align with Google Cloud best practices, using tools like frontline intelligence operations for comprehensive benchmarking and performance characterization.