Senior Infrastructure Engineer Scale AI & Systems

Position: Senior Infrastructure Engineer — Large-Scale AI & Systems
Senior Software Engineer, Infrastructure, Google Store

Google place Mountain View, CA, USA

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• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 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 field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience deploying Large Language Models into production workflows for entity extraction, classification, or automated content validation.

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.

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.

Google Store is our omnichannel, global retailer, leveraging the best of Google to help customers experience our award-winning devices and services. Our team is responsible for a vast portfolio that supports the entire customer journey, from product discovery to upgrading their next device. This portfolio includes the My Pixel app distributed with every Pixel phone, the Google Store global eCommerce platform, our leading edge retail point-of-sale system, and AI-driven algorithms for customer lifecycle management.

The Store team applies Google's AI to solve complex, real-world problems across our growing global footprint of online and brick-and-mortar storefronts. This ranges from AI-enhanced site operations to agentic AI shopping assistance, ensuring a seamless and intelligent experience at every touchpoint.

The Store team is committed to providing team members with the opportunity to build their applied AI skillset, so that we may ultimately help our customers connect with the best of Google.

The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific…