Cloud Platforms and Infrastructure Engineer, TPU/GPU

Google; United States; On-site; USD 152,000 - 221,000; Full time

Job summary

Google is seeking a Cloud Platforms and Infrastructure Engineer (Mid) to drive scalable infrastructure across TPU/GPU workloads in multiple US locations. You will design and implement cloud networking solutions, automate provisioning, and collaborate with Product and Engineering teams to accelerate migrations and optimizations.

You will mentor junior engineers, manage project delivery, and travel up to 30% as needed for client engagements, with strong emphasis on Kubernetes, Linux, and GCP

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 6 years of experience automating infrastructure provisioning, DevOps, CI/CD using Kubernetes and Linux-based systems.
• 3 years of experience in project management and technical solution delivery.
• Experience coding in Python, Java, Go, or C/C++ with data structures and algorithms in Linux environments and Kubernetes.
• Experience with Google Cloud Platform (GCP).
• Ability to travel up to 30% for client engagements.

Responsibilities

• Propose solution architectures and manage deployment of cloud networking solutions per requirements and best practices.
• Design and implement cloud-based architectures, migration approaches, and optimizations with customers.
• Collaborate with internal teams to package best practices into methodologies and assets.
• Interact with sales, partners, and technical stakeholders to manage scope, priorities, deliverables, risks, and timelines.
• Travel up to 30% in-region for meetings, reviews, and onsite delivery.

Skills

DevOps

Kubernetes

Linux

Python

Java

Go

C/C++

GCP

Project management

Mentoring

Education

Bachelor's degree in Computer Science or equivalent

Tools

Google Kubernetes Engine (GKE)

GCP

Job description

Cloud Platforms and Infrastructure Engineer, TPU/GPU

Google Austin, TX, USA; San Francisco, CA, USA; +7 more; +6 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. The application window will be open until at least August 25, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; San Francisco, CA, USA; Atlanta, GA, USA; Boulder, CO, USA; Addison, TX, USA; Miami, FL, USA; Sunnyvale, CA, USA; Chicago, IL, USA.

Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.


• 6 years of experience automating infrastructure provisioning, Developer Operations (DevOps), continuous integration, or delivery utilizing Kubernetes and Linux-based systems.


• 3 years of experience in project management and technical solution delivery.


• Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, software design, Linux environments and Kubernetes orchestration.


• Experience working with Cloud Providers such as Google Cloud Platform (GCP).


• Ability to travel 30% of the time, as needed, for client engagements.

Preferred qualifications:

• Experience with third-party networking (e.g., PANW, Fortinet, VMWare) and design, including redundancy and load balancing.


• Experience troubleshooting networking protocols including TCP/IP, Hypertext Transfer Protocol, and Border Gateway Protocol (BGP).


• Experience in customer-facing migration, including service discovery, assessment, planning, execution, and operations.


• Experience with standard IT security practices, including IAM, data protection, encryption, and certificate/key management.


• Experience running AI/ML training and inference workloads on GPU/TPU using frameworks such as PyTorch, JAX, TensorFlow, or Slurm.


• Knowledge of containerization and orchestration technologies, including Google Kubernetes Engine (GKE) and related cloud-native services.

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud Platform and Infrastructure Engineer, you will provide technical guidance to customers adopting Google Cloud Platform (GCP) services, including providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work with Product Management and Product Engineering to drive excellence in Google Cloud products and features.

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: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Propose solution architectures and manage the deployment of cloud networking solutions according to customer requirements and implementation best practices.


• Design and implement cloud-based technical architectures, migration approaches, and application optimizations that enable business objectives in collaboration with customers.


• Work with internal Specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.


• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines.


• Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

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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.

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