We are looking for a GCP Administrator based in Latin America to work on a long-term project for one of our clients, a software company headquartered in Virginia, US.
Our client’s platform orchestrates business operations and empowers leaders to design, automate, and optimize important processes from start to finish. With their industry-leading technology and commitment to customer success, our client is trusted by top organizations to drive transformational process change.
Responsibilities
- Manage and maintain GCP resources, including Compute Engine, Cloud Storage, IAM, Cloud SQL, VPC networks, and other core services.
- Conduct a comprehensive audit of the existing GCP organization, folders, and projects.
- Implement configuration changes, patches, and updates to ensure optimal performance and security.
- Monitor system performance, resource utilization, and service health across the GCP environment.
- Assist in designing and enforcing best practices for cloud architecture, cost optimization, and resource management.
- Use tools like Terraform, Cloud Deployment Manager, or similar IaC solutions to automate provisioning and reduce manual work.
- Provide internal technical support for cloud-related issues (GCP and Azure).
- Manage and troubleshoot IAM policies, service accounts, and role-based access controls, ensuring adherence to the Principle of Least Privilege.
- Support developers and operational teams with GCP tooling, environment access, and general cloud usage.
- Assist in the integration of GCP with existing Azure environments as needed.
- Participate in the evaluation and deployment of tools that enable cross-cloud visibility and management.
- Monitor for security vulnerabilities and implement remediation steps.
- Support compliance audits and cloud governance initiatives.
- Design and provision the secure, scalable infrastructure required for AI/ML workloads using Vertex AI.
- Establish a secure data foundation for ML models, including setting up Cloud Storage buckets and BigQuery datasets, ensuring proper encryption and access controls.
- Implement controls for Vertex AI resources to prevent data exfiltration and ensure model artifacts are protected.
- Prepare the environment for the deployment of cutting-edge Generative AI models, such as the Gemini family (e.g., Gemini 3/Gemini API on Vertex AI), by configuring necessary services and securing API access.
Requirements
- Advanced Level of English.
- 5+ years of experience administering Google Cloud Platform services.
- Experience with Vertex AI, Cloud Storage, BigQuery, and IAM.
- Familiarity with Generative AI models and APIs, with the ability to configure and secure deployment environments.
- Hands-on knowledge of AI/ML workflows, model deployment, and infrastructure for scalable ML workloads.
- Strong understanding of GCP IAM, VPC networking, compute services, storage, and monitoring.
- Experience supporting internal teams with cloud-related troubleshooting and configuration.
- 2+ years of experience with Azure environments (Azure AD, VMs, networking, storage), especially in hybrid or transition scenarios.
- Knowledge of cloud security principles and best practices.
- Experience with Terraform or similar Infrastructure as Code (IaC) tools.
- Ability to write basic automation scripts (Python, Bash, or PowerShell).
- GCP certifications (Google Professional Cloud Architect or Professional Cloud Security Engineer).
- Strong communication skills and ability to work effectively with non-technical users.
Bonus Points
- Bachelor’s Degree in Computer Science, Systems Engineering or related fields.
- Experience with CI/CD tools such as Cloud Build, GitHub Actions, or Azure DevOps.
What we offer
- Compensation in USD
- Paid time off
- Cool clients and products
- Work with great engineers
