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X 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 September 24, 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:
San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Miami, FL, USA; Sunnyvale, CA, 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 jobAs 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.
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.
