Platform Engineer
Lorven Technologies Inc
Charlotte, NC, United States
28 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+23 more
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
Requirements
- 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
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