Azure Platform Engineer — Cloud Automation & Scale

Mastercard; Helena (MT); On-site; USD 120,000 - 180,000; Full time

Job summary

Mastercard is seeking a Senior Platform Engineer to join the Azure Platform Engineering team. You will help build and automate Azure infrastructure to support application development and operations.

The role emphasizes scalable design, reliability, and rapid delivery across Mastercard’s cloud ecosystem. You will implement code-driven infrastructure, optimize platform services, and contribute to Azure best practices.

Qualifications

• Bachelor's degree in Computer Science or related technical field.
• Experience with Azure infrastructure provisioning via automation tools (Terraform).
• Experience programming in one of Python, Java, Go, Bash, etc.
• Experience with DevOps tools (ADO, Jenkins, Bitbucket, Artifactory, SonarQube).
• Understanding of Logging, Monitoring, and Alerting best practices.
• Experience with software deployment and configuration automation.

Responsibilities

• Implement solutions to manage Mastercard’s Azure infrastructure via code.
• Engage and improve the lifecycle of the Azure platform and services—from development to deployment, operation, and refinement.
• Design, develop, and implement scalable platform solutions on Azure.
• Practice sustainable incident response and blameless postmortems.

Skills

Azure infra automation

Cloud platform design

Programming: Python/Java/Go/Bash

DevOps tooling

Troubleshooting large-scale systems

Windows/Linux familiarity

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Azure

ADO

Jenkins

Bitbucket

Artifactory

SonarQube

Job description

Mastercard is seeking a Senior Platform Engineer to join the Azure Platform Engineering team. You will help build and automate Azure infrastructure to support application development and operations.

The role emphasizes scalable design, reliability, and rapid delivery across Mastercard’s cloud ecosystem. You will implement code-driven infrastructure, optimize platform services, and contribute to Azure best practices.