Staff Software Engineer, Search Local Ads Data Platform

About the role

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.Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

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

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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 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.