Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 2 years of experience in one or more of the following programming languages: Go, Java, or Rust.
• 
  
  2 years of experience building or maintaining distributed systems or large-scale storage architectures.
  
  

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience with high-performance storage hardware integration and NVMe-over-Fabrics.
• Familiarity with the storage requirements for AI/ML lifecycles, such as data ingestion, training, and inference.
• Knowledge of Kubernetes, CSI drivers, and operators.
• Knowledge of File (NFS, SMB) and Object (S3) storage protocols and distributed file systems.
• Understanding of data structures and algorithms.

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.

The Google Distributed Cloud (GDC) Host Network Functions team provides technologies empowering host networking and offload features and telco network functions and to deliver fully-featured and performant network foundations for GDC customer workloads. Our team is dedicated to revolutionizing Kubernetes networking experiences, providing connectivity and network performance for AI, retail, telecom, and enterprise customers on the GDC platform.

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.
  

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Requisition #: 121236656379306694

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