AI/ML Data Platform DevOps Lead

Global Payments; Alpharetta (GA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Global benefits

Growth opportunities

Learning & development

Inclusive team environment

Community & charity initiatives

Employee assistance program

Job summary

Global Payments is seeking a Lead DevOps Engineer for our AI/ML Data Platform team. You will drive reliability, scalability, and performance of platforms powering data and AI innovations across the enterprise.

Lead automation efforts, shape cloud infrastructure, and partner with engineering to accelerate secure, resilient deployments. This role requires strong leadership, deep cloud expertise (AWS/Azure/GCP), and hands-on IaC proficiency with Terraform, Ansible, Docker, and Kubernetes.

Qualifications

• 5+ years in DevOps, SRE, or platform engineering with measurable impact.
• Experience with cloud-native architectures and modern CI/CD practices.
• Hands-on expertise in building scalable, secure IaC and automation pipelines.

Responsibilities

• Shape the cloud platform strategy to enable data and AI initiatives at scale.
• Accelerate software delivery through automation and IaC to improve reliability.
• Drive CI/CD excellence with enterprise-grade pipelines and release tooling.
• Influence platform reliability and performance with proactive monitoring and testing.
• Champion DevOps best practices and mentor teams across the organization.

Skills

AWS

Azure

GCP

Terraform

Ansible

Docker

Kubernetes

GitHub Actions

CI/CD

Leadership

Tools

GitHub

Docker

Kubernetes

Terraform

Job description

Global Payments is seeking a Lead DevOps Engineer for our AI/ML Data Platform team. You will drive reliability, scalability, and performance of platforms powering data and AI innovations across the enterprise.

Lead automation efforts, shape cloud infrastructure, and partner with engineering to accelerate secure, resilient deployments. This role requires strong leadership, deep cloud expertise (AWS/Azure/GCP), and hands-on IaC proficiency with Terraform, Ansible, Docker, and Kubernetes.