GCP Infrastructure Engineer @ UPS
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Job Details
Overview
UPS is seeking a highly skilled GCP Infrastructure Engineer to design, build, and manage cloud infrastructure that powers Generative AI applications at scale. At UPS, you will work with advanced technologies including Google Cloud Platform (GCP) Vertex AI, IBM Watsonx, Docker, Kubernetes (GKE) and more.
Key Responsibilities
- Design, provision, and maintain scalable and secure infrastructure for GenAI applications on GCP.
- Deploy and manage containerized workloads using Docker and Kubernetes (GKE).
- Configure and optimize Vertex AI and IBM Watsonx platforms for training and inference.
- Develop Infrastructure as Code using Terraform and apply GitOps practices.
- Build CI/CD pipelines and implement SRE principles for reliability.
- Integrate DevSecOps best practices with identity, access management, and compliance.
- Implement observability stacks and optimize costs for GPU/TPU workloads.
- Collaborate with teams to streamline AI application development and deployment.
Required Qualifications
Bachelor’s or master’s degree in Computer Science or related field with 5+ years of cloud infrastructure engineering experience. Proficiency in GCP, Docker, Kubernetes, Python, Bash, and CI/CD tools is essential. Experience with GenAI use cases and a strong understanding of cloud security, networking, and automation are required.
Preferred Qualifications & Certifications
Experience in MLOps, multi-cloud environments, and managing regulated infrastructure will be an advantage. Preferred certifications include Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Machine Learning Engineer, and relevant IBM and Kubernetes certifications.
Key Skills/Competency
- Google Cloud Platform
- Vertex AI
- IBM Watsonx
- Terraform
- Docker
- Kubernetes
- CI/CD
- DevOps
- Cloud Security
- Automation
How to Get Hired at UPS
🎯 Tips for Getting Hired
- Research UPS's culture: Review their mission, recent news and employee reviews.
- Customize your resume: Highlight GCP, Terraform, and Kubernetes expertise.
- Prepare technical examples: Demonstrate your cloud infrastructure projects.
- Practice behavioral insights: Prepare scenarios showcasing teamwork.