Principal Software Engineer
AI summary of the role
Principal Software Engineer on the Decision Stream program, building the next-generation Decision Management Platform at Mastercard.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Build software, tooling, and platform capabilities for the Decision Management Platform.
- Design and implement large-scale distributed systems with low-latency, high-throughput requirements.
- Apply AI tools as part of daily engineering practice to real product and platform problems.
- Lead architectural design for complex, enterprise-wide initiatives spanning multiple services and programs.
What you’ll bring
- Extensive experience in software engineering and technical leadership.
- Proven delivery of large-scale distributed systems.
- Expertise in cloud, AI/data platforms, and modern engineering practices.
- Strong communication and mentorship skills.
Technologies
AWS · AI-assisted development · real-time AI inferencing · event streaming · distributed caches · in-memory data grids · LLM integration · business rules engine · GitOps · CI/CD
About Mastercard
Global payments network connecting issuers, acquirers, merchants, fintechs, and governments, layered with fraud, data, consulting, money movement, and digital-authentication services.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the 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 [... source excerpt omitted ...] echnologies 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 technology strategy. Key Responsibilities Platform & Product Development - Build software, tooling, and platform capabilities. - Design and implement large scale distributed systems. - Develop reusable services, patterns, and integrations. - Contribute to new product and prototype development from concept through validation. Evaluation & Technical Judgment - Evaluate systems, frameworks, and [... source excerpt omitted ...] es. - Improve developer experience through automation, AI-assisted workflows, and platform thinking. - Advocate learnings, prototypes, and best practices across the organization. Customer Experience & Platform Strategy - Own and improve end-to-end customer experience across a portfolio of services and applications. - Simplify and optimize architecture strategies to balance cost, performance, and business value. - Apply judgment and experience to make trade-offs between competing priorities and technical constraints. Thought Leadership & Influence - Lead architectural design for complex, enterprise-wide initiatives spanning multiple services and programs. - Drive organization-wi
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