Cloud Platforms and Infrastructure Engineer, TPU/GPU

Job description

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.