Mastercard

Financial Services

PrincipalSoftwareEngineer

$245–375k ~AI est. Arlington, Virginia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“Principal Software Engineer at Mastercard. Skills: Decision Management Platform, Real-time AI, Distributed systems. Design core platform capabilities. Code core platform capabilities”

What You'll Achieve.

Improve product effectiveness; Increase business delivery; Strengthen technical resilience; Lower cost of ownership

Industry & Context.

Financial Services
Problems you'll solve

Troubleshooting; Root cause analysis

What They're Looking For.

Must Have

Extensive experience in software engineering, Extensive technical leadership, Proven delivery of large-scale distributed systems, Expertise in cloud platforms, Expertise in AI/data platforms, Expertise in modern engineering practices, Bachelor’s degree

Nice to Have

Advanced degree

What You'll Do.

Design core platform capabilities

Code core platform capabilities

Prototype core platform capabilities

Validate core platform capabilities

Build platform capabilities

Design distributed systems

Implement distributed systems

Develop reusable services

Develop reusable patterns

Develop reusable integrations

Contribute to product development

Contribute to prototype development

Apply engineering judgment

Teach AI-assisted development

Model AI-assisted development

Improve developer experience

Advocate best practices

Own customer experience

Improve customer experience

Simplify architecture strategies

Optimize architecture strategies

Lead architectural design

Represent organization

Participate in reviews

Conduct technical interviews

Provide recommendations

Champion AI-assisted engineering

How You'll Work.

Team & Collaboration

Technology executives; Senior leaders; Engineers; Engineering teams; Data science teams

Communication Scope

Public speaking; Technical blogs; White papers

Process & Methodology

Platform thinking

Full 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** ### Principal Software Engineer ### About Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Role Overview As a Principal Engineer within the Decision Stream program, you will combine enterprise-scale technical leadership with hands-on engineering for the next-generation Decision Management Platform. This is not a strategy-only role. You will actively design, code, prototype, and validate core platform capabilities, using modern AI-assisted development tools as part of day-to-day software engineering to move faster, improve quality, and help teams adopt better ways of building. Key areas of focus include leveraging disruptive technologies in real-time AI inferencing and decisioning to improve product effectiveness, increase business delivery, strengthen technical resilience, and lower cost of ownership. You will work closely with technology executives, senior leaders, and engineers to shape the overall AI & DPE technolog

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