GCP Infra SME with Hands on HPC Experience
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a remote contract position for a GCP Infra SME with hands-on HPC experience, requiring Google Cloud Professional Architect Certification, expertise in Terraform, GKE, and GPU/TPU hardware, as well as familiarity with Python and ML libraries.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 11, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Terraform #ML (Machine Learning) #Pandas #Python #PyTorch #Infrastructure as Code (IaC) #NumPy #Cloud #Storage #GCP (Google Cloud Platform)
Role description
Role: GCP Infra SME with hands on HPC Experience
Location: Remote
Duration: Contract
Job Description:
GCP Infra SME with hands on HPC Experience:
• Google Cloud Professional Architect Certification is Mandatory
• GCP SME with hands-on HPC experience (with Infra)
• GPU / TPU Experience
• Familiarity with hands on IaC is a must
• Terraform
• GKE
• Networking
• Storage
• Python
• Library familiarity with: NumPy/pandas/PyTorch/JAX, including optimization
• Experience with Nvidia and/or Google TPU hardware in GCE and GKE
• ML specific GCP products: Parallel store, Hyper disk ML, TCP Direct
• Troubleshooting and optimization of large (1000s of nodes) GKE clusters
• Prior experience working with Google PSO is a plus. More than 3 GCP Projects with hands-on experience on the above mentioned Infra background.
Role: GCP Infra SME with hands on HPC Experience
Location: Remote
Duration: Contract
Job Description:
GCP Infra SME with hands on HPC Experience:
• Google Cloud Professional Architect Certification is Mandatory
• GCP SME with hands-on HPC experience (with Infra)
• GPU / TPU Experience
• Familiarity with hands on IaC is a must
• Terraform
• GKE
• Networking
• Storage
• Python
• Library familiarity with: NumPy/pandas/PyTorch/JAX, including optimization
• Experience with Nvidia and/or Google TPU hardware in GCE and GKE
• ML specific GCP products: Parallel store, Hyper disk ML, TCP Direct
• Troubleshooting and optimization of large (1000s of nodes) GKE clusters
• Prior experience working with Google PSO is a plus. More than 3 GCP Projects with hands-on experience on the above mentioned Infra background.
