Staff Software Engineer, Vertex Core Infra, Cloud AI

Google Inc.; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Sunnyvale, CA is seeking a Staff Software Engineer for Vertex Core Infra in Cloud AI. You will own outcomes, influence stakeholders, and build scalable foundation infra for Vertex AI with strong C++, Go, and Kubernetes experience.

Role requires 8+ years in software development, deep system design, and the ability to integrate generative AI tools and LLM interfaces into workflows. Expect collaboration across Google Cloud, security, and compliance teams.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
• Experience with Kubernetes, C++, and Go programming.
• Experience working with Apps Framework, Distributed Systems, Spanner, Google Cloud Platform, One Platform, and Compliance.

Responsibilities

• Lead, design and implement critical infra for Vertex AI products.
• Solve complex backend bottlenecks to improve scalability and reliability.
• Drive security and compliance features across the platform.
• Collaborate with AI initiatives like Gemini, Partners MaaS, and Agents.
• Improve interoperability of Vertex AI components with GCP services.

Skills

Bachelor’s degree

Software development

Software testing

Software architecture

Gen AI integration

Kubernetes

C++

Go

Distributed systems

GCP

One Platform

Compliance

Education

Bachelor’s degree

Master’s degree or PhD in Engineering/CS

Tools

Kubernetes

GCP

Spanner

One Platform

Job description

Staff Software Engineer, Vertex Core Infra, Cloud AI

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Google Sunnyvale, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

• Bachelor’s degree or equivalent practical experience.


• 8 years of experience in software development.


• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.


• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.


• Experience with Kubernetes, C++, and Go programming.


• Experience working with Apps Framework, Distributed Systems, Spanner, Google Cloud Platform, One Platform, and Compliance.

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 with distributed system design of infrastructure software.


• Experience building or operating large-scale services on Google Cloud Platform (GCP), specifically leveraging technologies like Spanner, IAM, OnePlatform, GKE, or Compute Engine, and familiar with Compliance requirements such as CMEK and Wipeout.


• Track record of solving ambiguous infrastructure problems, such as system performance bottlenecks or multi-region availability.


• Motivated Tech Lead (TL) who is passionate about building reliable, scalable foundation infrastructures that powers many AI products.

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.

Build infrastructure that powers many Vertex AI products and solutions, including Gen AI, Agent, Document AI, Vision AI, etc. Build foundational infrastructure to make Vertex AI more enterprise ready by providing reliable and scalable infrastructure, and advanced security and compliance features (e.g. access control, auth, security horizontals).

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

Build infrastructure that powers many Vertex AI products and solutions, including Gen AI, Agent, Document AI, Vision AI, etc. Build foundational infrastructure to make Vertex AI more enterprise ready by providing reliable and scalable infrastructure, and advanced security and compliance features (e.g. access control, auth, security horizontals).

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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 .

• Lead, design and implement business critical Infra for Vertex AI products. Solve complex backend system problems to address bottlenecks for system scalability and reliability, adapting the system to rapid business growth.


• Drive implementation to make Cloud AI products meet security and compliance requirements in order to unblock customers in certain industries (e.g., financial industry, healthcare).


• Work closely with other AI initiatives within Google, including Gemini serving, Partner MaaS, Agents.


• Build Vertex AI into the full lifecycle of customer's machine learning workflows by improving interoperability within multiple Vertex AI products and with other GCP/non-GCP services (e.g., Kaggle, HuggingFace, TFHub).


• Learn and apply emerging AI infrastructure patterns (e.g., model lifecycle automation) to build a foundation for Vertex AI.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.