Lead Software Engineer

# Lead Software Engineermastercard
· Fin Tech·Arlington, Virginia, United States of America
· Onsite·Full-time
· Yesterday·Salary Undisclosed

Skills:

Next.jsAPI Design Distributed Systems Low Latency
** 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### 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     This is a hands-on Lead Engineer role focused on building backend and full-stack capabilities for Mastercard's next-generation Decision Management Platform, the real-time system that helps score and approve billions of payment transactions.
You will own technical areas end to end, write code, shape architecture, mentor engineers, and turn ambiguous goals into reliable services, APIs, workflow tools, and user-facing experiences.

Key Responsibilities     
• Own meaningful backend and full-stack capabilities from problem definition through design, implementation, testing, deployment, and production support.

• Design and build scalable services, APIs, workflow tooling, frontend experiences, and integrations.

• Set technical direction, make pragmatic architecture decisions, and align engineers around maintainable solutions.

• Use design reviews, code reviews, and hands-on coaching to raise engineering quality and reduce complexity.

• Write code, build prototypes, and use AI coding tools to improve speed, quality, and team effectiveness.

• Work closely with product, engineering, and senior stakeholders to turn ambiguous goals into working software and measurable outcomes.
What We're Looking For     
• You lead through delivery. You have shipped meaningful backend, full-stack, or product-facing capabilities in complex production systems.

• You think end to end. You connect user experience, APIs, backend design, data flows, operations, and business outcomes.

• You influence by doing the work. You guide technical direction through judgment, clear communication, and hands-on credibility.

• You care about quality. Testing, observability, security, clean interfaces, and maintainability are part of how you build.

• You are adaptable. You are comfortable with ambiguity, changing priorities, and small, fast-moving teams.
Relevant Experience   
• You do not need experience in every area, but should bring strong hands-on depth in several of the following:

• Backend services, API design, service integration, and domain modeling.

• Full-stack applications, workflow tooling, dashboards, authoring tools, or operational interfaces.

• High-throughput, low-latency, event-driven, or distributed systems.

• Decisioning, rules, data, feature platforms, or real-time transaction processing.

• AI/ML systems, low-latency inference, or LLM-enabled product experiences.

• AI-assisted development and agentic harnesses     Requirements     
• Strong hands-on software engineering experience building backend services, APIs, full-stack applications, or complex production systems.

• Experience owning technical areas end to end, including design, implementation, testing, deployment, and production support.

• Strong fundamentals in software design, architecture, API design, data modeling, testing, code review, secure coding,…