This role involves designing and managing the cloud infrastructure that powers Generative AI applications at scale within a Fortune Global 500 organization
Job Summary
This role involves designing and managing the cloud infrastructure that powers Generative AI applications at scale within a Fortune Global 500 organization.
The engineer will leverage Google Cloud Platform Vertex AI and IBM Watsonx to deliver secure, scalable, and high-performance AI solutions.
Candidates must possess 8+ years of experience in cloud infrastructure engineering with strong hands-on expertise in Docker, Kubernetes, and Terraform.
Matching Summary
This role involves designing and managing the cloud infrastructure that powers Generative AI applications at scale within a Fortune Global 500 organization.
Skills & Requirements
Must-have
Google Cloud Platform (GCP) expertise
Terraform Infrastructure as Code
Kubernetes (GKE) container orchestration
Vertex AI and IBM Watsonx deployment
Python and Bash scripting proficiency
CI/CD pipeline development
SRE principles implementation
Nice-to-have
MLOps practices experience
Multi-cloud environment exposure
Feature store knowledge
Open-source contributions
Regulated industry background
Distributed training frameworks
Key Requirements
Bachelor's or master's degree in computer science
8+ years of cloud infrastructure engineering experience
Experience with GenAI use cases
Proficiency in Python, Bash, or relevant scripting languages