We are seeking a highly skilled GCP Infrastructure Engineer to design, build, and manage the cloud infrastructure that powers Generative AI applications at scale
Job Summary
We are seeking a highly skilled GCP Infrastructure Engineer to design, build, and manage the cloud infrastructure that powers Generative AI applications at scale.
You will own the end-to-end infrastructure lifecycle — from design and provisioning to automation, monitoring, and optimization — while enabling data scientists and ML engineers to seamlessly deploy and operate GenAI workloads.
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Matching Summary
We are seeking a highly skilled GCP Infrastructure Engineer to design, build, and manage the cloud infrastructure that powers Generative AI applications at scale.
Skills & Requirements
Must-have
Google Cloud Platform (GCP) expertise
Terraform Infrastructure as Code
Docker and Kubernetes (GKE)
Python and Bash scripting
CI/CD pipeline development
GenAI application infrastructure
Nice-to-have
MLOps practices for model deployment
Multi-cloud or hybrid cloud experience
Feature stores and ML observability tools
Distributed training frameworks knowledge
Open-source contributions
Experience in regulated industries
Key Requirements
8+ years cloud infrastructure engineering experience
Bachelor’s or master’s degree in computer science or related field
Experience with GenAI use cases
Google Cloud Certified - Professional Cloud Architect (preferred)
Certified Kubernetes Administrator or Application Developer (preferred)
IBM Certified Watsonx Generative AI Engineer (preferred)