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, and the Storage Everywhere team is building the Storage solutions to allow stateful applications to seamlessly run across all of these environments.
The GDC File and Block Storage Team is critical to GDC air-gapped, delivering high-performance, and secure file and block storage services. Our team is responsible for the full lifecycle of file and block storage within Google Distributed Cloud Hosted (GDCH), from hardware integration with partners like NetApp (ONTAP AFF series) to providing secure, multi-tenant storage for our customers.
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 share 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 benefits at Google.
Responsibilities
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 2 years of experience programming in C++, Go, or Python.
- 2 years of experience with Kubernetes and infrastructure-as-a-service (IaaS).
- Experience with cloud compute platforms like Kubernetes and Cloud functions.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience with distributed storage systems.
- Experience with Kubernetes or container orchestration frameworks.
- Experience in Golang.
- Experience with systematic performance benchmarking and optimization.
- Experience with Cloud platforms (Google Cloud Platform (GCP), cloud computing platform).