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We are a global technology company in the payments industry.
The Role
Support and scale Mastercard's Generative AI and Copilot platforms by building integrations, automation, MCP servers and connectors; provide Copilot Studio support; create documentation and training; improve developer experience, reliability, and adoption while following security and operational best practices.
Summary Generated by Built In
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
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.
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:
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
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.
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.
Skills 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
- 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
What the Team is Saying
Jenny
Distinguished Engineer
Mastercard
Mastercard Compensation & Benefits Highlights
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Retirement Support — Careers materials and job postings advertise a “best‑in‑class” 10% retirement match (401k or equivalent). Public-facing benefits pages consistently position this as a standout element of the U.S. package.
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Leave & Time Off Breadth — Recent U.S. postings list 25 vacation days, 5 personal days, 10 paid holidays, up to 20 days of bereavement, and 80 hours of sick/safe time. The combined time‑off framework is described as well above typical U.S. baselines.
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Parental & Family Support — Company materials specify a minimum of 16 weeks paid new‑parent leave and inclusive family‑building support, with financial assistance for adoption, fertility, and surrogacy where allowed. Impact/ESG reporting also notes coverage enhancements for gender‑affirming care in North America.
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The Company
What We Do
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.
Why Work With Us
We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.
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Mastercard Teams
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Mastercard Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.
Typical time on-site:
3 days a week
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