Senior AI Platform Engineer — Cloud & MLOps Architect

Capgemini; Charlotte (NC); On-site; USD 106,028,000 - 165,592,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement plan

Job summary

Tundra Technical Solutions in Charlotte, NC seeks a Senior AI Platform Engineer to design, build, and scale cloud infrastructure powering AI/ML workloads on GCP. You will own CI/CD pipelines and MLOps workflows to ensure reliable, secure production delivery.

Responsibilities include containerizing services with Docker and Kubernetes (GKE), applying Terraform IaC, establishing observability, and collaborating with data scientists to productionize models while enforcing security.

Qualifications

• 7+ years of experience in platform engineering, DevOps, or infrastructure engineering
• Hands-on experience with Google Cloud Platform (GCP) including Vertex AI and GKE
• Designing and managing CI/CD pipelines (Cloud Build, Jenkins, GitHub Actions, GitLab CI, ArgoCD)
• Proficiency with Infrastructure as Code (Terraform preferred)
• Strong scripting/programming skills (Python, Bash, or Go)
• Experience with containerization/orchestration (Docker, Kubernetes)
• Knowledge of MLOps concepts and ML lifecycle (training, versioning, deployment, monitoring)
• Familiarity with observability tooling (Cloud Monitoring, Prometheus, Grafana)
• Cloud security, IAM, and secrets management best practices

Responsibilities

• Design, build, and maintain scalable cloud infrastructure on GCP to support AI/ML workloads
• Architect and manage CI/CD pipelines for model training, deployment, and release workflows
• Build and maintain MLOps pipelines for model versioning, training, deployment, and monitoring
• Implement IaC (Terraform) for repeatable provisioning
• Containerize and orchestrate services with Docker and Kubernetes (GKE)
• Establish observability and alerting for AI/ML services
• Collaborate with AI/ML engineers to productionize models
• Ensure platform security and secrets management across environments

Skills

GCP & Vertex AI

CI/CD pipelines

Scripting (Python/Bash/Go)

Docker & Kubernetes

MLOps concepts

IAM & cloud security

Observability & monitoring

Tools

Terraform

GKE

Kubeflow

MLflow

Cloud Build / Jenkins / GitHub Actions / GitLab CI / ArgoCD

Prometheus & Grafana

Job description

Tundra Technical Solutions in Charlotte, NC seeks a Senior AI Platform Engineer to design, build, and scale cloud infrastructure powering AI/ML workloads on GCP. You will own CI/CD pipelines and MLOps workflows to ensure reliable, secure production delivery.

Responsibilities include containerizing services with Docker and Kubernetes (GKE), applying Terraform IaC, establishing observability, and collaborating with data scientists to productionize models while enforcing security.