Lead DevOps Engineer for AI Platform & Cloud, CI/CD

Devopsroles; Alpharetta (GA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Global benefits

Learning & development

Inclusive team environment

Job summary

Global Payments is seeking a Lead DevOps Engineer to lead the AI/ML Data Platform team, driving reliability, scalability, and performance of data/AI platforms used across a global payments network.

You will shape cloud platform strategy, accelerate software delivery through IaC, and build enterprise-grade CI/CD pipelines while championing DevOps best practices across multiple teams. Our globally distributed environment values security, resilience, and collaboration.

Qualifications

• Proven success leading engineering initiatives, cloud transformations, or complex infrastructure projects.
• Deep expertise in cloud platforms such as AWS, Azure, or GCP with modern cloud architecture principles.
• Advanced experience with IaC practices (Terraform, Ansible) to improve scalability and reliability.

Responsibilities

• Shape the cloud platform strategy by designing scalable, secure infrastructure for data/AI initiatives.
• Accelerate delivery through automation and IaC to improve deployment consistency and reduce risk.
• Drive CI/CD excellence by building and optimizing enterprise-grade pipelines for reliability.
• Influence platform reliability and performance through proactive monitoring and testing.
• Champion DevOps best practices across teams and foster collaboration.

Skills

DevOps leadership

CI/CD automation

Cloud architectures

Tools

Terraform

Ansible

Docker

Kubernetes

GitHub

GitHub Actions

Job description

Global Payments is seeking a Lead DevOps Engineer to lead the AI/ML Data Platform team, driving reliability, scalability, and performance of data/AI platforms used across a global payments network.

You will shape cloud platform strategy, accelerate software delivery through IaC, and build enterprise-grade CI/CD pipelines while championing DevOps best practices across multiple teams. Our globally distributed environment values security, resilience, and collaboration.