Lead Software Engineer

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 Overview: The Portfolio Intelligence team within Mastercard Services organization is seeking a Lead Software Engineer to play a critical role in advancing the Mastercard Intelligence Center, the organization’s flagship business intelligence platform. This role emphasizes technical leadership in design and architecture to support the platform’s continued growth and scalability. The Lead Software Engineer will operate as a hands on technical contributor, collaborating with multiple scrum teams to design, build, deploy, and scale real time, interactive applications used by global clients. The role provides direct technical leadership through architectural decision making, design and code reviews, hands on code contributions, and the establishment of engineering standards. It also includes mentoring engineers, guiding the platform’s evolution toward modern technologies and AI driven capabilities, and promoting a culture of innovation, engineering excellence, and continuous improvement. This is a hybrid position based in Arlington, VA, requiring three days per week onsite. Role: • Provide technical leadership across multiple engineering teams by influencing architecture, design decisions, and long-term platform strategy. • Lead the design and development of large-scale, cross-functional initiatives with meaningful business impact. • Act as a hands-on individual contributor who tackles complex engineering challenges across front-end and back-end systems. • Define and guide architectural standards aligned with security, scalability, and performance requirements. • Contribute to the development of agentic AI capabilities as part of ongoing platform innovation. • Mentor engineers through code reviews, design reviews, and collaborative problem-solving. • Improve and maintain CI/CD pipelines to support reliable and efficient development and deployment workflows. • Drive automation and high-quality release practices to ensure stable and predictable production deployments. • Enhance system observability and monitoring through dashboards, alerts, metrics, and log analysis using tools such as Splunk and Dynatrace. • Lead incident resolution, troubleshooting, and root cause analysis (RCA) to strengthen platform stability and resilience. • Partner with product, business, and technical stakeholders to identify opportunities, define scope, and assess value and impact. • Collaborate with Program and Project Managers to estimate work, manage risks and dependencies, and track engineering metrics. • Coordinate effectively with global and offshore teams while maintaining strong documentation, traceability, and SDLC standards. • Continuously improve engineering processes, coding standards, and architectural best practices across teams. All About You: • Demonstrated progression in software engineering roles with increasing technical leadership and system ownership. • Strong hands-on experience designing and building large-scale distributed systems. • Expertise in modern programming languages such as Java, .NET/C#, or Python. • Strong knowledge of microservices architecture, API design, and event-driven systems. • Familiarity with distributed system patterns including idempotency, retries, circuit breaking, and backpressure. • Experience working with cloud-native technologies and enterprise platforms, including: Docker, Kubernetes, AWS, Snowflake, PostgreSQL, Splunk, Dynatrace. • Experience developing and maintaini ... (truncated, view full listing at source)