Cloud Platforms and Infrastructure Engineer, TPU/GPU
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses grow. 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 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 - $222000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
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 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 - $222000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
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.