Staff Software Engineer, Google Cloud, Netsoft

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’s global network infrastructure is undergoing a transformation to support scale, reliability, and rapid AI/ML-driven changes in Google Cloud. In this role, you will contribute to software-defined infrastructure that automates traffic demand planning, capacity planning, cost-optimized network design, and workflow-driven deployment.

NetSoft is the central driver of this vision. Navigating complex and ambiguous problems, you will have opportunities to learn and make a meaningful impact. You will bring fresh ideas across various domains—including distributed systems, large-scale system design, networking, data storage, AI, and natural language processing. You will demonstrate leadership, mentor other engineers, and address new challenges across the stack to push global technology forward.

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: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Provide Technical leadership to the team, design, and architecture to build customer facing available, reliable, scalable systems.
• Involve in software design and implementations, adhere to software best practices and architectural considerations on a project-wide level. 
• Collaborate across teams effectively, manage complex requirements and convert the outcomes into simplified solutions.
• Understand the AI/ML applications, performance monitoring, identify key problem areas, work with various dependency teams, prioritize and drive solutions effectively to consensus.
• Strategize and drive projects to improve development velocity, engineering excellence and product excellence.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience programming in C++.
• 5 years of experience testing, and launching software products.
  
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  
• 3 years of experience with software design and architecture.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience in system integration or system design and computational modeling.
• Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing software systems, or security software development.