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# Platform Engineer

- **Company:** Lorven Technologies Inc
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bash Shell, BigQuery, Cloud Computing, Cloud Computing Security, Computer Programming, DevOps, Github, Identity and Access Management, Python (Programming Language), Key Management, Machine Learning, Octopus Deploy, Prometheus, Gemini Enterprise (Agent Platform), Management of Software Versions, Datadog, Model Garden (Google Cloud), Scripting, Google Cloud, Cloud Monitoring, Delivery Pipeline, Large Language Models, Grafana, Build Server, Amazon Virtual Private Cloud (VPC), Containerization, Gitlab-ci, Kubernetes, Information Technology, Google Cloud Functions, Machine Learning Operations, Terraform, Docker, Jenkins
- **Published:** October 6, 2026
- **Apply:** https://www.dice.com/job-detail/868aa85e-5751-48e6-95ab-1432e8d26fcb

## About the Role

* Bachelors or Any Degree with Experience in Information Technology or the relevant Field.
 * Must have 7+ years of experience in platform engineering, DevOps, or infrastructure engineering roles
 * Strong hands-on expertise with Google Cloud Platform (Google Cloud Platform) - Vertex AI, GKE, Cloud Run, IAM, VPC/networking, BigQuery
 * Good Deep experience designing and managing CI/CD pipelines (Cloud Build, Jenkins, GitHub Actions, GitLab CI, ArgoCD)
 * Must be Proficiency in Infrastructure as Code (Terraform preferred)
 * Strong scripting/programming skills (Python, Bash, or Go)
 * Good Experience with containerization and orchestration (Docker, Kubernetes)
 * You should have a Solid understanding of MLOps concepts and the ML lifecycle (training, versioning, deployment, monitoring)
 * Good Experience with observability tooling (Cloud Monitoring, Prometheus, Grafana, ELK/EFK)
 * Strong understanding of cloud security, IAM, and secrets management best practices
 * Preferred Qualifications
 * Google Cloud Platform Professional certifications (Cloud DevOps Engineer, Cloud Architect, or Machine Learning Engineer)
 * Experience supporting generative AI / LLM platforms (Vertex AI, Gemini Enterprise, Model Garden)
 * Experience with GitOps workflows (ArgoCD, Flux)
 * Background working in regulated or enterprise-scale environments
 * Familiarity with cost optimization and FinOps practices on Google Cloud Platform has context menu