Senior AI Platform Engineer: Cloud, MLOps & CI/CD

Capgemini; Charlotte (NC); On-site; USD 51,000 - 80,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement benefits

Job summary

Tundra Technical Solutions is seeking a senior AI Platform Engineer to design and operate cloud-based AI/ML infrastructure, focusing on scalable GCP platforms and secure automation.

The role centers on CI/CD pipelines, MLOps, Vertex AI, Kubeflow, Terraform, and IaC, collaborating with data scientists to productionize models while ensuring observability, governance, security, and cost efficiency across environments.

Qualifications

• 7+ years of experience in platform engineering, DevOps, or infrastructure engineering roles.
• Strong hands-on expertise with Google Cloud Platform (GCP) - Vertex AI, GKE, Cloud Run, IAM, VPC/networking, BigQuery.
• Deep experience designing and managing CI/CD pipelines (Cloud Build, Jenkins, GitHub Actions, GitLab CI, ArgoCD).
• Proficiency in Infrastructure as Code (Terraform preferred).
• Strong scripting/programming skills (Python, Bash, or Go).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Solid understanding of MLOps concepts and the ML lifecycle (training, versioning, deployment, monitoring).
• Experience with observability tooling (Cloud Monitoring, Prometheus, Grafana, ELK/EFK).
• Strong understanding of cloud security, IAM, and secrets management best practices.

Responsibilities

• Design, build, and maintain scalable cloud infrastructure on GCP to support AI/ML and application workloads.
• Architect and manage CI/CD pipelines for model training, deployment, and application release workflows.
• Build and maintain MLOps pipelines for model versioning, training, deployment and monitoring.
• Implement Infrastructure as Code (Terraform, Deployment Manager) for repeatable, auditable environment provisioning.
• Containerize and orchestrate services using Docker and Kubernetes (GKE).
• Establish observability, logging, and alerting for AI/ML services.
• Partner with AI/ML engineers and data scientists to productionize models and streamline the path from experimentation to production.
• Ensure platform security, IAM policies, secrets management, and compliance across environments.
• Drive automation to reduce manual toil across build, test, deployment, and rollback processes.
• Troubleshoot platform/infrastructure issues and drive root-cause resolution for production incidents.

Skills

Platform engineering

DevOps

CI/CD pipelines

Go/Python scripting

GCP expertise

Kubernetes

IAM security

Monitoring

Tools

Docker

Kubernetes

Terraform

Vertex AI

Cloud Build

GitHub Actions

Jenkins

GitLab CI

Kubeflow

MLflow

Job description

Tundra Technical Solutions is seeking a senior AI Platform Engineer to design and operate cloud-based AI/ML infrastructure, focusing on scalable GCP platforms and secure automation.

The role centers on CI/CD pipelines, MLOps, Vertex AI, Kubeflow, Terraform, and IaC, collaborating with data scientists to productionize models while ensuring observability, governance, security, and cost efficiency across environments.