Software Engineer, Google Cloud Storage
Indexed description
- 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.
- 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.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google .
- 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.
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