Lead Software Engineer (Full stack)

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 Lead Software Engineer (Full stack) Overview The CNPF Data & AI organization is looking for a Lead Software Engineer to help build the next generation of intelligent, agentic products and platforms powering the Mastercard Virtual C-Suite. This is a hands-on technical leadership role for an experienced engineer who combines strong software engineering fundamentals with practical experience building production-ready AI systems. You will lead the design and delivery of secure, scalable, and reliable agentic applications that can reason, orchestrate tools, interact with enterprise systems, and deliver measurable business value. You will work closely with Applied AI, Data Science, Product, Security, and Platform teams to move from concept to experimentation to governed production deployment. This role will suit a builder who enjoys solving complex problems, working across disciplines, and helping teams deliver high-quality software at pace. We are particularly interested in engineers who know how to use AI responsibly both within products and across the software development lifecycle to improve quality, productivity, engineering effectiveness, and delivery outcomes Key Responsibilities • Lead hands-on architecture, design, and implementation of agentic applications, AI-powered services, and platform capabilities from concept through production • Define engineering patterns and best practices for production AI systems, including evaluation, monitoring, guardrails, resiliency, cost control, and rollback strategies • Drive end-to-end software delivery across the SDLC, from discovery and prototyping to testing, release, and production operations • Use engineering tools to accelerate design, coding, testing, documentation, troubleshooting, and delivery while maintaining strong engineering judgment and code quality standards • Champion an AI-enabled SDLC by improving developer workflows, automation, test generation, code review quality, release confidence, and team productivity • Partner closely with Product, Applied AI, Data Science, and business stakeholders to translate ambiguous opportunities into scalable product capabilities • Provide technical leadership through architectural decisions, design reviews, code reviews, hands-on contribution, and mentoring of engineers across the team • Build highly available, secure, and maintainable cloud-native services with strong observability, performance, and operational readiness • Shape technical roadmaps, identify short- and long-term platform needs, and influence architecture choices that enable scale, reuse, and faster delivery • Collaborate across teams and business units to solve complex business and engineering problems with practical, high-impact solution • Keep senior stakeholders informed of progress, risks, trade-offs, and implementation decisions in a clear and concise manner All about you • Bachelor’s degree in computer science, Software Engineering, or a related technical field; advanced degree preferred. • + 10 years software engineering experience building scalable, secure, maintainable production systems, including experience leading complex technical initiatives end to end • Hands-on experience building and shipping AI-powered products or agentic applicatio