Staff Software Engineer, Search Local Ads Data Platform

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Senior Software Engineer for the LVL Data Platform in Mountain View. You will help manage location and calls data across ads ecosystems, shaping serving and data infrastructure at scale.

The role emphasizes building robust back-end and front-end components, collaborating with teams across Google Ads networks, and applying AI to drive content and insights for advertisers.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 5 years of experience with full stack development (backend + frontend).
• 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Design, architect, and develop serving infrastructure for loading and indexing information in Ads.
• Leverage AI to generate new content for local businesses and determine which ad should serve.
• Work on projects spanning feature engineering, backend pipelines, low latency infrastructure, advertiser reporting, and production stability.

Skills

Full stack development

Software design

AI integration

Leadership in matrixed org

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Tools

Java

Python

Golang

C++

JavaScript/TypeScript

HTML/CSS

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 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.

About The Job

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.

The Local and Vertical Ads (LVL) Data Platform provides business location data, calls data, service area business data, and its derived location and calls intelligence to the Google Ads ecosystem. It is the basis for all location-based and call ads. Your goal is to make location information accessible and used universally by the Ads ecosystem.

The data that you manage encompasses a portion of Google's business across the various Google Ads networks (Search, Display, YouTube, and Maps), contributing to business with headroom and future growth opportunities. You will work on serving, data infrastructure, or quality infrastructure and unlock new business opportunities.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
• Design, architect, and develop the next generation serving infrastructure for loading and indexing information in Ads.
• Leverage AI to generate new additional content for our local businesses and determine which ad should serve.
• Work on projects spanning a range of technical domains including feature engineering, backend pipelines, low latency infrastructure, advertiser reporting, and production stability.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .