Cloud Platform Engineer - GCP, Kubernetes & AI/ML Ops

Google LLC; Addison (TX); On-site; USD 152,000 - 221,000; Full time

Job summary

Google LLC in multiple U.S. locations is seeking a Cloud Platforms and Infrastructure Engineer, TPU/GPU, to lead automation and deployment of cloud infrastructure within Google Cloud Platform (GCP).

You will design scalable architectures, collaborate with product teams, and guide customers through complex cloud migrations and optimizations. The role requires a strong foundation in DevOps, Kubernetes, Linux environments, and programming languages (Python/Go/Java/C/C++), with travel up to 30% for

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 6 years of experience automating infrastructure provisioning, 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.
• 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.

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.

Skills

DevOps

Kubernetes

Linux

Project management

Python

Go

Java

C/C++

Automation

GCP

Education

Bachelor's degree in Computer Science or equivalent

Tools

GKE

CI/CD tools

Job description

Google LLC in multiple U.S. locations is seeking a Cloud Platforms and Infrastructure Engineer, TPU/GPU, to lead automation and deployment of cloud infrastructure within Google Cloud Platform (GCP).

You will design scalable architectures, collaborate with product teams, and guide customers through complex cloud migrations and optimizations. The role requires a strong foundation in DevOps, Kubernetes, Linux environments, and programming languages (Python/Go/Java/C/C++), with travel up to 30% for