GCP Cloud Engineer – Build Scalable, Secure Infra

Machine Learning Technologies, LLC; Minneapolis (MN); On-site; USD 90,000 - 140,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an experienced GCP Cloud Engineer to design, implement, and optimize cloud infrastructure on Google Cloud Platform. The role focuses on building scalable systems, deploying containerized apps, and ensuring security and performance across environments.

You will work with DevOps, development, and security teams to implement CI/CD pipelines, IaC, and monitoring, while maintaining documentation and best practices.

Qualifications

• Hands-on experience with Google Cloud Platform services and architectures.
• Proficient in infrastructure as code and automation tooling.
• Experience implementing CI/CD pipelines for cloud-native apps.
• Strong understanding of containerization and orchestration (Docker/Kubernetes).

Responsibilities

• Design, deploy, and manage scalable cloud infrastructure on GCP.
• Configure and manage GCP services: Compute Engine, GKE, Cloud Storage, Cloud SQL, IAM.
• Implement IaC using Terraform and automate deployment pipelines.
• Monitor performance, security, and cost; troubleshoot issues across stacks.

Skills

Terraform

Docker

Kubernetes

Python

Bash

Job description

Machine Learning Technologies, LLC is seeking an experienced GCP Cloud Engineer to design, implement, and optimize cloud infrastructure on Google Cloud Platform. The role focuses on building scalable systems, deploying containerized apps, and ensuring security and performance across environments.

You will work with DevOps, development, and security teams to implement CI/CD pipelines, IaC, and monitoring, while maintaining documentation and best practices.