Cloud Platforms and Infrastructure Engineer, TPU/GPU
AI summary of the role
This role is a customer-facing cloud infrastructure engineer within Google Cloud Consulting Professional Services, focused on designing and deploying cloud networking and infrastructure solutions on GCP, with a strong emphasis on AI/ML workloads on GPU/TPU.
What you’ll do
- Propose solution architectures and manage deployment of cloud networking solutions per customer requirements.
- Design and implement cloud-based technical architectures, migration approaches, and application optimizations.
- Collaborate with internal Specialists, Product, and Engineering teams to package best practices into thought leadership and methodologies.
- Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks, and timelines.
What you’ll bring
- Bachelor's degree in Computer Science or equivalent practical experience.
- 6 years of experience automating infrastructure provisioning, DevOps, continuous integration, or delivery using Kubernetes and Linux-based systems.
- 3 years of experience in project management and technical solution delivery.
- Experience coding in Python, Java, Go, C, or C++ including data structures, algorithms, and software design.
Technologies
Kubernetes · Linux · GCP · Python · Java · Go · C · C++ · GPU · TPU · PyTorch · JAX
About Google
Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini.
Public
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