Software Engineer III, Infrastructure, Google Cloud NetInfra

Google•Madison, WI

1d•$147,000 - $210,000

About The Position

Google software engineers develop technologies that help billions of users connect, explore, and interact with information. In this role, you will work on a project important to Google, with opportunities to move between teams and projects as the business evolves. Engineers are expected to be versatile, demonstrate leadership qualities, and take on problems across the full stack. The Technical Infrastructure team builds and maintains the architecture behind Google’s products, including data centers and the platforms that support them, and keeps Google’s networks running. The AI and Infrastructure team delivers AI and infrastructure capabilities at scale, efficiency, reliability, and velocity for Googlers, Google Cloud customers, and Google users worldwide. Its work supports AI models, global services, developer platforms, and hyperscale computing across software and hardware. Individual pay is determined by job-related skills, experience, and relevant education or training. The stated U.S. compensation range is $147,000–$210,000, plus a 15% target bonus, equity, and benefits.

Requirements

Bachelor’s degree or equivalent practical experience.
2 years of experience programming in C++, Python, or Go.
2 years of experience developing large-scale infrastructure, distributed systems, or networks, or experience with compute technologies, storage, or hardware architecture.

Nice To Haves

Master’s degree or PhD in Computer Science or a related technical field.
2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in an academic or industry setting.
Experience developing accessible technologies.
Proficiency in code and system health, diagnosis and resolution, and software test engineering.

Responsibilities

Write product or system development code.
Participate in or lead design reviews with peers and stakeholders to decide among available technologies.
Review code developed by other developers and provide feedback to ensure best practices, including style guidelines, code check-in practices, accuracy, testability, and efficiency.
Contribute to existing documentation or educational content and adapt it based on product or program updates and user feedback.
Triage product or system issues and debug, track, and resolve them by analyzing their sources and impact on hardware, network, or service operations and quality.