Google Cloud Infrastructure Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Google Cloud Infrastructure Specialist with 10+ years of experience, requiring Google Cloud Professional Architect Certification, hands-on HPC experience, and expertise in GCP, Terraform, GKE, Python, and ML products. Remote contract position.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 10, 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
#Pandas #GCP (Google Cloud Platform) #ML (Machine Learning) #NumPy #Infrastructure as Code (IaC) #Terraform #PyTorch #Python #Cloud #Storage
Role description
Title : GCP Infra SME with hands on HPC Experience
Location : US Remote
Contract
10 plus experience required
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.
Ritesh Rawat
Raas infotek corporation
262 Chapman road, Suite 105A, Newark, DE-19702
Phone: 302-286-9831 Ext: 142,
Email: ritesh.rawat@raasinfotek.com
Website: raasinfotek.com
Title : GCP Infra SME with hands on HPC Experience
Location : US Remote
Contract
10 plus experience required
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.
Ritesh Rawat
Raas infotek corporation
262 Chapman road, Suite 105A, Newark, DE-19702
Phone: 302-286-9831 Ext: 142,
Email: ritesh.rawat@raasinfotek.com
Website: raasinfotek.com
