Software Engineer III, Infrastructure, Buyable Corpus

2 Months ago • 2-4 Years • Full Stack Development

Job Summary

Job Description

This Software Engineer III position at Google's Buyable Corpus team focuses on building and maintaining large-scale infrastructure. Responsibilities include writing and reviewing code, participating in design reviews, resolving system issues, and contributing to documentation. The role requires experience in software development (multiple programming languages), data structures/algorithms, large-scale infrastructure, and distributed systems. The ideal candidate will have experience with performance analysis, data visualization, debugging, and potentially C++, data mining, and machine learning. The team works on critical projects impacting billions of daily users' shopping experiences within Google's Commerce ecosystem, ensuring a seamless journey from product discovery to checkout for both consumers and merchants.
Must have:
  • Bachelor's degree or equivalent experience
  • 2+ years software development experience
  • 2+ years experience with data structures/algorithms
  • 2+ years experience developing large-scale infrastructure
  • Code writing, review & debugging skills
Good to have:
  • Master's/PhD in Computer Science
  • Experience with performance analysis, data visualization
  • C++ proficiency
  • Data Mining and Machine Learning experience

Job Details

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 in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
  • Proficiency in code and system health, diagnosis and resolution, and software test engineering.
  • Experience with C++.
  • Experience in Data Mining and Machine Learning.

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.

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

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

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