Product Cloud Engineer

your Jared; Northern (KY); Hybrid; USD 83,000 - 152,000; Part time

Job summary

AI Products is seeking an experienced Product Cloud Engineer with deep expertise in GCP and AWS to assist on an as-needed basis. In this role, you will design and build robust, scalable cloud architectures for our product offerings and integrate AI capabilities into our ecosystem.

This contract/part-time role is remote (US-based) and requires hands-on cloud architecture, AI deployment experience, and the ability to work on hourly engagements.

Qualifications

• Location: Must be located in the United States (US Citizen or Permanent Resident).
• Cloud Expertise: Deep, hands-on experience building product architectures on both GCP and AWS.
• AI Experience: Direct experience deploying AI/ML models, tools, or native cloud AI services.
• Flexibility: Comfortable working on an hourly, ad-hoc basis depending on project demand and workload.

Responsibilities

• Cloud Architecture: Design, build, and optimize product-focused cloud infrastructure across both GCP and AWS environments.
• AI Integration: Leverage AI/ML services and frameworks to integrate intelligent features into product architectures.
• Ad-Hoc Engineering: Provide expert guidance, troubleshooting, and architectural execution on a flexible, as-needed project basis.

Skills

AI

AWS

GCP

ML

Job description

• Product Cloud Engineer

  Required Skills: AI, AWS, GCP, ML

  Country: United States

  Job Title: Senior Product Cloud Engineer (GCP & AWS)

  Employment Type: Contract / Part-Time (As-Needed)

  Location: Remote (US-Based)

  Job Overview

  We are seeking an experienced Product Cloud Engineer with deep expertise in both Google Cloud Platform (GCP) and Amazon Web Services (AWS) to assist on an as-needed basis. In this role, you will design and build robust, scalable cloud architectures for our product offerings and integrate AI capabilities into our ecosystem.

  Key Responsibilities

  • Cloud Architecture: Design, build, and optimize product-focused cloud infrastructure across both GCP and AWS environments.

  • AI Integration: Leverage AI/ML services and frameworks to integrate intelligent features into product architectures.

  • Ad-Hoc Engineering: Provide expert guidance, troubleshooting, and architectural execution on a flexible, as-needed project basis.

  Requirements & Qualifications

  • Location: Must be located in the United States (US Citizen or Permanent Resident).

  • Cloud Expertise: Deep, hands-on experience building product architectures on both GCP and AWS.

  • AI Experience: Direct experience deploying AI/ML models, tools, or native cloud AI services.

  • Flexibility: Comfortable working on an hourly, ad-hoc basis depending on project demand and workload.

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