Google Cloud is seeking a Staff Software Engineer to join their Infrastructure team, playing a crucial role in developing next-generation technologies that power how billions of users connect and interact. This position offers an opportunity to work on critical projects at massive scale, extending well beyond traditional web services.
The role combines technical leadership with hands-on development, requiring expertise in large-scale infrastructure, distributed systems, and software architecture. You'll be responsible for leading high-impact projects, coaching other engineers, and designing solutions that meet Google Cloud's enterprise-grade standards.
As a Staff Software Engineer, you'll work with cutting-edge technologies across the full stack, from distributed computing to system design, networking, and data storage. The position requires both technical depth and leadership skills, as you'll be managing project priorities and deliverables while ensuring technical excellence in implementation.
Google Cloud serves customers in over 200 countries, providing enterprise-grade solutions that leverage Google's cutting-edge technology. The role offers competitive compensation ($197,000-$291,000 base salary plus bonus, equity, and benefits) and the opportunity to work with some of the industry's best engineers.
The position requires 8 years of software development experience, with particular emphasis on large-scale infrastructure and distributed systems. You'll be working from one of several locations (Kirkland, WA; Sunnyvale, CA; Durham, NC; or Raleigh, NC), contributing to Google Cloud's mission of accelerating digital transformation across industries.
This is an ideal role for experienced engineers who want to combine technical leadership with hands-on development, working on systems that impact billions of users while mentoring other engineers and driving technical direction. The position offers significant growth opportunities within Google's engineering organization and the chance to work on some of the most challenging problems in distributed computing and cloud infrastructure.