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Open nowFirst seen 6 hours ago

Staff Software Engineer, Shopping Graph

Google3,345 open roles

Where
Zürich, Switzerland
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Your applicationOpen nowStaff Software Engineer, Shopping GraphGoogle · Zürich, Switzerland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 26 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: first seen 6 hours ago

Google median: 26 days open

The posting

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++, Java, Python, Kotlin or Go.
  • 5 years of experience testing, and launching software products.
  • 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/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 Shopping Graph is Google's comprehensive dataset of commercial information. It powers shopping experiences across all of Google, including Search, YouTube, Ads, and next-generation AI experiences like Gemini and AI Overviews. The Data Acquisition team is responsible for acquiring this high-quality commerce data. Our vision is to make it effortless for merchants to submit and enhance their product information, ensuring the Shopping Graph maintains extensive coverage and data quality.

As a core pillar within Data Acquisition, the Feeds Infra team builds and owns the foundational infrastructure that ingests data into the Shopping Graph via files, APIs, and web crawling. Beyond ingestion, we empower merchants and downstream teams to continuously improve product data quality, meeting the rigorous demands and rising bar of Agentic Commerce.

People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world.

Responsibilities

  • Provide technical leadership on high-impact projects.
  • Influence and coach a distributed team of engineers.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  • Manage project priorities, deadlines, and deliverables.
  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
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