The role
From Google's own posting.
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.
Local Services by Google (GLS) is a strategic vertical effort in Ads and Commerce. Our primary mission is to create great experiences for users who need local services, enabling them to find and connect with trusted services providers (advertisers).
A key ingredient is acquiring and retaining high quality advertisers (providers) that can meet the ever growing services users demand. We want to take a multi-faceted approach in setting up an efficient and sustainable acquisition pipeline, meeting advertisers in places they already go to buy ads. We want to invest into offering exceptional functionality and features that will make advertiser find value in us, and thus be retained on the platform.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.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 .
Provide technical leadership on high-impact projects.
Influence and coach a distributed team of engineers.
Deliver full stack development including UI, backend infrastructure, and AI/ML.
Manage a team of 5 Engineers.
Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
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.
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.