Senior AI Platform Engineer - GCP & MLOps

Capgemini; Charlotte (NC); On-site; USD 41,000 - 65,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Tundra Technical Solutions is seeking a senior AI Platform Engineer to design, build, and operate scalable cloud infrastructure powering AI/ML workloads. This role focuses on cloud platform engineering, CI/CD automation, and MLOps practices to enable reliable, secure AI delivery.

You will own CI/CD pipelines, MLOps workflows, and IaC with Terraform, container orchestration on GKE, and work with AI/ML teams to productionize models, while ensuring tight security and observability across

Qualifications

• 7+ years in platform/DevOps or infrastructure roles.
• Strong GCP expertise with Vertex AI, GKE, Cloud Run, IAM, VPC/Networking, BigQuery.
• Deep experience designing/managing CI/CD pipelines (Cloud Build, Jenkins, GitHub Actions, GitLab CI, ArgoCD).
• Proficiency with Infrastructure as Code (Terraform preferred).
• Scripting in Python/Bash/Go.
• Containerization with Docker and Kubernetes.
• Strong ML lifecycle knowledge including training, versioning, deployment, monitoring.

Responsibilities

• Design, build, and maintain scalable cloud infrastructure for AI/ML workloads on GCP.
• Architect and manage CI/CD pipelines for model training and deployment.
• Build and maintain MLOps pipelines for versioning, training, deployment, monitoring.
• Implement IaC (Terraform) for repeatable provisioning.
• Containerize and orchestrate services with Docker and Kubernetes (GKE).
• Establish observability, logging, and alerting for AI/ML services.
• Collaborate with AI/ML engineers to productionize models.
• Ensure platform security, IAM, secrets management, and compliance.
• Drive automation to reduce toil across build/test/deploy/rollback processes.
• Troubleshoot platform issues and drive root-cause resolution.

Skills

Cloud platform engineering

CI/CD automation

MLOps concepts

Python/Bash/Go scripting

Security/compliance

Observability

Tools

GCP (Vertex AI, GKE, Cloud Run, IAM, VPC, BigQuery)

Terraform

Docker

Kubernetes

GitHub Actions

Jenkins

ArgoCD

Cloud Build

Kubeflow

MLflow

Prometheus Grafana

Job description

Tundra Technical Solutions is seeking a senior AI Platform Engineer to design, build, and operate scalable cloud infrastructure powering AI/ML workloads. This role focuses on cloud platform engineering, CI/CD automation, and MLOps practices to enable reliable, secure AI delivery.

You will own CI/CD pipelines, MLOps workflows, and IaC with Terraform, container orchestration on GKE, and work with AI/ML teams to productionize models, while ensuring tight security and observability across