Staff Software Engineer, Infrastructure, Google Ads

Google is seeking a Staff Software Engineer to join their Google Ads Infrastructure team. This role combines technical leadership with hands-on development of large-scale distributed systems. The position offers an opportunity to work on critical projects that power Google's advertising platform, which helps connect people, publishers, and advertisers across the open internet.

The ideal candidate will bring 8+ years of software development experience, with deep expertise in data structures, algorithms, and distributed systems. You'll be responsible for leading high-impact projects, mentoring team members, and designing scalable solutions that handle information at massive scale. The role requires both technical excellence and leadership skills, as you'll be influencing technical direction and facilitating alignment across teams.

Working at Google Ads means being part of a team that creates trusted experiences between people and businesses through effective advertising tools. You'll help develop solutions that serve diverse clients, from small businesses to large brands and YouTube creators. The role offers competitive compensation ($189,000-$284,000 base salary plus bonus, equity, and benefits) and the chance to work with cutting-edge technology.

This position requires strong technical expertise in large-scale infrastructure and distributed systems, combined with the ability to lead and mentor others. You'll be working in a complex, matrixed organization where cross-functional collaboration is essential. The role offers opportunities for growth and impact, as you'll be contributing to products that billions of users interact with daily.

As a Staff Software Engineer, you'll be at the forefront of Google's advertising technology, helping to shape the future of digital advertising while working with some of the industry's best engineers. The role combines technical challenges with leadership opportunities, making it ideal for someone who wants to have both technical and organizational impact at scale.