Senior AI Platform Engineer - GCP, MLOps, CI/CD

Capgemini

Charlotte (NC)

On-site

USD 43,000 - 68,000

Full time

25 hours ago
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Job summary

Tundra Technical Solutions seeks a Senior AI Platform Engineer to design, build, and scale cloud infrastructure for AI/ML workloads on GCP. You will own CI/CD pipelines, MLOps workflows, and IaC provisioning to enable fast, secure production deployments.

You will collaborate with AI/ML engineers and data scientists, implement robust security and observability, and automate end-to-end build, test, and deployment processes across environments.

Qualifications

  • 7+ years in platform engineering, DevOps, or infrastructure roles.
  • Strong hands-on GCP experience (Vertex AI, GKE, Cloud Run, IAM, VPC, BigQuery).
  • Deep exposure to CI/CD pipelines (Cloud Build, Jenkins, GitHub Actions, GitLab CI, ArgoCD).
  • Terraform or IaC expertise for repeatable provisioning.
  • Scripting skills (Python, Bash, or Go).
  • Containerization and orchestration (Docker, Kubernetes).
  • Knowledge of MLOps and ML lifecycle (training, versioning, deployment, monitoring).
  • Familiarity with observability tools (Prometheus, Grafana, Cloud Monitoring/Logging).
  • Understanding of cloud security, IAM, and secrets management.

Responsibilities

  • Design and maintain scalable cloud infra on GCP for AI/ML workloads.
  • Architect and manage CI/CD pipelines for model training and deployment.
  • Build and operate MLOps pipelines for versioning, training, and monitoring.
  • Implement IaC (Terraform) for auditable environments.
  • Containerize and orchestrate services with Docker and Kubernetes (GKE).
  • Establish observability and alerting for AI/ML services.
  • Collaborate with AI/ML teams to productionize models.
  • Drive security, IAM, and secrets management across environments.
  • Automate build/test/deploy/rollback processes.
  • Troubleshoot platform issues and perform RC analysis.

Skills

Cloud platform engineering
CI/CD automation
MLOps
Python
Go

Tools

GCP
Vertex AI
GKE
Cloud Run
Terraform
Docker
Kubernetes
Cloud Build
Jenkins
GitHub Actions
GitLab CI
ArgoCD
Prometheus
Grafana

Job description

Tundra Technical Solutions seeks a Senior AI Platform Engineer to design, build, and scale cloud infrastructure for AI/ML workloads on GCP. You will own CI/CD pipelines, MLOps workflows, and IaC provisioning to enable fast, secure production deployments.

You will collaborate with AI/ML engineers and data scientists, implement robust security and observability, and automate end-to-end build, test, and deployment processes across environments.

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