Director, Software Engineering

Mastercard
SingaporePosted 14 April 2026

Tech Stack

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 Director, Software Engineering Director, Software Engineering Mastercard Foundry R&D – Singapore Overview We are seeking a Director, Software Engineering to join the Mastercard Foundry R&D team. In this role, you will lead highly skilled R&D engineers to explore emerging technologies, build innovative prototypes, and deliver scalable pilot solutions. The ideal candidate is an accomplished people leader who thrives in a fast‑paced innovation environment and can translate emerging technology into meaningful business and customer outcomes. You will combine technical depth, delivery discipline, and strong communication skills to drive R&D initiatives across domains such as Generative AI, Agentic Systems, IoT, XR, Web3, and Distributed Ledger Technologies, while serving as a role model for modern, AI‑enabled engineering practices. What You’ll Do: Lead and Grow High‑Performing R&D Teams Manage, mentor, and inspire senior engineers and technical leads Foster an environment of accountability, learning, and continuous improvement through coaching, feedback, and clear goals Drive Innovation and Technology Exploration Guide experimentation and rapid prototyping across emerging technology areas, including Generative AI, agentic systems, IoT, XR, Web3, and Distributed Ledger Technologies Help teams move from ideas to validated prototypes and pilots Own End‑to‑End Delivery of R&D Initiatives Oversee multiple concurrent initiatives from concept through prototype and pilot Ensure delivery quality through strong engineering practices, agile execution, risk management, and transparent reporting Provide Technical and Architectural Leadership Guide architectural decisions and review designs to ensure solutions are scalable, secure, and extensible Promote reuse, modularity, and sound engineering trade‑offs across initiatives Champion AI‑Enabled Engineering Practices Actively use modern AI tools in your own work Advocate for responsible adoption of AI‑assisted engineering to improve productivity, quality, and speed of experimentation Partner with Stakeholders and Represent Foundry R&D Collaborate with product, business, and technology stakeholders to shape priorities and solutions Communicate progress, outcomes, and learnings clearly to senior leadership and partners What You’ll Bring: Strong People Leadership Proven ability to motivate, develop, and retain highly skilled engineers in R&D or innovation‑driven environments Innovation Mindset Curiosity and passion for emerging technologies, with the ability to turn exploration into tangible prototypes and learning outcomes Execution Focus Comfort balancing experimentation with delivery discipline, enabling teams to learn fast while making measurable progress Stakeholder Confidence Ability to communicate complex technical topics clearly and concisely to diverse audiences, including senior leaders Hands‑On Credibility Sufficient technical depth to engage in design discussions, challenge assumptions, and guide teams toward better solutions Required Skills: Education & Experience Bachelor’s degree in Computer Science or related field, or equivalent practical experience 12+ years of software engineering experience, including 2+ years in engineering leadership or people management roles Software Engineering Fundamentals Strong understanding of modern engineering practices, system design, and architectural patterns for scalable and resilient systems Project & ... (truncated, view full listing at source)
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