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Platform Engineer

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Onsite

Platform Engineer

Mastercard

Platform Engineer

Skills

AIWorkdayMicrosoft Power PlatformAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Ireland

Work mode:

Onsite

Published on:

26 August 2026

What they need


  • 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
  • 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
  • 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
  • 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
  • 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
  • Successful candidates will:
  • 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- Experience with cloud platforms, APIs, automation, or application integrations
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
  • Experience troubleshooting technical issues and supporting users or development teams
  • 2-5 years of experience in platform engineering, software engineering, automation, or related technical roles
  • Strong written and verbal communication skills
  • Experience with Microsoft Power Platform and Copilot Studio
  • Experience with Microsoft 365 Copilot, Azure AI, or Generative AI technologies
  • Familiarity with DevOps practices, CI/CD pipelines, and automated testing
  • Experience creating technical documentation, training content, or developer enablement resources
  • Experience developing integrations, connectors, or automation solutions
  • Ability to learn new technologies quickly and work effectively in a collaborative environment

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