GCP Engineer

Machine Learning Technologies, LLC; Minneapolis (MN); Presencial; USD 90.000 - 140.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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).

Responsabilidades

• 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.

Conocimientos

Terraform

Docker

Kubernetes

Python

Bash

Descripción del empleo

We are looking for an experienced GCP Cloud Engineer to design, implement, manage, and optimize cloud infrastructure on Google Cloud Platform. The ideal candidate will have hands‑on experience with cloud services, infrastructure automation, CI/CD pipelines, containerization, monitoring, security, and troubleshooting.

Key Responsibilities:

• Design, deploy, and manage scalable and highly available cloud infrastructure on Google Cloud Platform.
• Manage GCP services such as Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, Cloud SQL, VPC, IAM, and Cloud Load Balancing.
• Implement Infrastructure as Code (IaC) using Terraform.
• Develop and maintain CI/CD pipelines using Cloud Build, Jenkins, GitLab CI/CD, or similar tools.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Configure networking components, including VPCs, subnets, firewall rules, VPNs, and load balancers.
• Implement cloud security best practices, including IAM policies, service accounts, encryption, and access controls.
• Monitor cloud infrastructure and application performance using Cloud Monitoring and Cloud Logging.
• Troubleshoot infrastructure, networking, deployment, and performance-related issues.
• Optimize cloud resource utilization and reduce infrastructure costs.
• Manage backup, disaster recovery, high availability, and business continuity solutions.
• Collaborate with DevOps, development, security, and operations teams to support application deployments.
• Maintain technical documentation, architecture diagrams, and operational procedures.

Required Technical Skills:

• Infrastructure as Code: Terraform
• Containers: Docker and Kubernetes
• Scripting: Python, Bash, or Shell scripting

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.