Platform Engineer II

Mastercard; Bray (OK); On-site; USD 110,000 - 160,000; Full time

Job summary

Mastercard is seeking a Platform Engineer II to scale and support our Generative AI and Copilot platform capabilities. You will contribute to engineering, support, governance, and adoption of Microsoft Copilot, Copilot Studio, and related AI platform services.

The successful candidate will blend engineering excellence with a customer focus to support internal developers, maintain platform documentation, and drive enterprise AI adoption.

Qualifications

• Bachelor's degree or equivalent practical experience in CS or related field.
• 2-5 years in platform/software engineering, automation, or related roles.
• Experience with cloud platforms, APIs, automation, or integrations.

Responsibilities

• Build, test, and maintain solutions supporting enterprise AI and Copilot.
• Contribute to platform integrations, automation, and reusable components.
• Develop MCP servers, connectors, and proof-of-concept solutions.
• Create and maintain technical documentation and troubleshooting resources.

Skills

Platform engineering

Cloud platforms

Automation

DevOps practices

Education

Bachelor's degree in CS or related field

Tools

Copilot Studio

Microsoft Power Platform

Azure AI

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Platform Engineer II

Platform Engineer II, Generative AI & Copilot Platforms

Overview

The Enterprise Operations team is seeking a Platform Engineer II to help scale and support Mastercard's Generative AI and Copilot platform capabilities. This role will contribute to the engineering, support, governance, and adoption of Microsoft Copilot, Copilot Studio, and related AI platform services.

The successful candidate will combine technical engineering skills with a customer-focused mindset to support internal developers, maintain platform documentation, develop reusable solutions, and help drive enterprise AI adoption.

Key Responsibilities

AI Platform Engineering

• Build, test, and maintain solutions that support enterprise AI and Copilot initiatives.
• Contribute to platform integrations, automation, and reusable engineering components.
• Assist in the development of MCP (Model Context Protocol) servers, connectors, and proof-of-concept solutions.
• Follow engineering best practices for security, reliability, testing, and operational readiness. 12

Copilot Studio Support & Operations

• Support internal developers building solutions with Copilot Studio and related Microsoft technologies.
• Troubleshoot platform issues and assist users with technical questions and implementation guidance.
• Partner with engineering and product teams to improve the developer experience and platform reliability. 13

Knowledge Management

• Create and maintain technical documentation, implementation guides, troubleshooting resources, and support content.
• Ensure platform knowledge repositories remain accurate, current, and easy to consume.
• Identify opportunities to improve self-service support and reduce repetitive support requests. 1

Developer Enablement

• Deliver training sessions, demonstrations, and technical enablement content.
• Create learning materials and reference assets that help developers successfully adopt platform capabilities.
• Support internal communities of practice and developer engagement activities. 13

Qualifications

Required

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• 2-5 years of experience in platform engineering, software engineering, automation, or related technical roles.
• Experience with cloud platforms, APIs, automation, or application integrations.
• Experience troubleshooting technical issues and supporting users or development teams.
• Strong written and verbal communication skills.
• Ability to learn new technologies quickly and work effectively in a collaborative environment.

Preferred

• Experience with Microsoft Power Platform and Copilot Studio.
• Experience with Microsoft 365 Copilot, Azure AI, or Generative AI technologies.
• Experience developing integrations, connectors, or automation solutions.
• Familiarity with DevOps practices, CI/CD pipelines, and automated testing.
• Experience creating technical documentation, training content, or developer enablement resources. 12

Success Measures

• Improve the experience of developers building on AI and Copilot platforms.
• Contribute reusable engineering solutions that accelerate platform adoption.
• Maintain high-quality documentation and support resources.
• Help scale AI capabilities through training, automation, and self-service experiences.
• Support secure and reliable operation of enterprise AI platforms.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.