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Google

Software Engineer III, Retail Advertiser Intelligence, Google Ads

Google · Google

Zurich

Senior

SoftwareC++CSSGoHTMLJavaJavaScriptLLM / GenAINLPPythonTypeScript

Last seen 1h ago

Posted
1w ago

Posted on 2 November 2026

Workplace
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Salary
Not disclosed

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Listing history Possibly reposted
  • Possibly reposted. A listing with the same title, location and team at this company was removed on 30 Oct 2026, and this one appeared on 2 Nov 2026 with a new job ID. The two descriptions are 100% the same. The removal was seen once, so this is not confirmed.

First seen 2 Nov 2026. Last checked 9 Nov, 13:17 UTC. We read each employer's own career page on a cycle and record what changes; this is what we observed, not a verdict on the role.

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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.

As part of the Retail Advertiser Intelligence, you will be developing and maintaining infrastructure that powers products providing retailers with the reporting insights they need to make investment decisions, debug their performance and understand Google's competitiveness.

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.

Develop and maintain the core reporting infrastructure: RVL, UDFs, Reporting Servers, Dynamo.

Work with Product Manager (PM) and User Experience (UX) to understand product requirements and develop the features.

Part of oncall rotations, and keeping the system healthy.

Design and improve advertiser experience latency.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.

2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

2 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.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.

2 years of experience with data structures and algorithms.

Experience developing accessible technologies.

Experience working with large-scale infrastructure and data processing pipelines.

Experience in data processing, aggregation and reporting.

About Google

Google runs core product engineering out of London, Dublin, Zurich, Warsaw and Munich — not support functions. Zurich is one of its largest engineering sites anywhere, and Warsaw has grown substantially. The bar is high and the process is long, but these are genuine product teams.

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