Software Engineer III - NodeOS, Cloud

Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Their products handle information at massive scale and extend beyond web search. Engineers work on specific projects critical to Google’s needs with opportunities to switch teams and projects as the business grows. NodeOS is the operating system that runs Google, based on Open Source Linux, customized for scale, transparency, and performance to run all of Google's compute. The role involves responsibility for critical parts of the operating system running all services at Google, working with upstream Linux packages and Google solutions. The core infrastructure team’s work impacts the entire company and reduces operational toil for Google engineers. Google Cloud delivers enterprise-grade solutions leveraging Google’s technology to help developers build sustainably and enable growth for customers in over 200 countries and territories.

• 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.

Nice to have:

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience with low level C coding.
• Experience in concurrency, multithreading and synchronization, or distributed systems programming.
• Experience with the Linux kernel.
• Understanding of the Linux ecosystem.

• Write product or system development code.
• Develop an extension of cornerstone NodeOS (Google internal Linux-based OS) capabilities, including engineering into open-source aspects.
• Analyze, design, implement, automate rollouts and troubleshooting large-scale computer systems.
• Redesign and refactor existing systems to improve performance and parallelism.
• Develop Linux Kernel.