100% Remote // GCP Infra SME with HPC
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a 100% remote contract position for a GCP Infra SME with HPC experience. Key requirements include Google Cloud Professional Architect Certification, hands-on experience with HPC, IaC, Terraform, GKE, and familiarity with Python and ML libraries.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 24, 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 #NumPy #Pandas #Python #ML (Machine Learning) #PyTorch #Infrastructure as Code (IaC) #Cloud #Storage #GCP (Google Cloud Platform)
Role description
100% Remote
GCP Infra SME with HPC
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, Hyperdisk 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.
100% Remote
GCP Infra SME with HPC
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, Hyperdisk 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.
