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 Lead Engineer, Full Stack Engineer Overview We are looking for a Lead Engineer who is a hands-on full stack engineer responsible for leading design and development within a team or domain area. This role actively codes, drives high quality delivery, and provides technical guidance to the team while aligning with broader architectural direction set by Principal Engineers and Architects. The ideal candidate has experience building scalable services, modernizing legacy platforms, and contributing to GenAI enabled capabilities in an enterprise environment. What You Will Do Build, enhance, and maintain secure, production grade software, writing clean, testable, and maintainable code Lead technical design and implementation for team owned services and components across the full stack Implement service APIs, data models, and integrations aligned with established platform architecture and standards Contribute to GenAI enabled features, including LLM integration, retrieval augmented generation patterns, embeddings, and vector stores, under guidance of broader architecture Drive modernization of legacy components within the team’s scope using approved architectural patterns Participate throughout the SDLC including design, development, code reviews, testing, documentation, deployment, and production support Own operational stability of assigned services, including monitoring, incident resolution, and root cause analysis Apply secure coding, privacy, and responsible AI practices in alignment with enterprise policies Mentor and support engineers through code reviews, design discussions, and day to day technical guidance Collaborate with product owners, platform teams, data teams, and security partners to deliver end to end solutions Continuously improve engineering practices, quality, and team level technical standards What You Bring Bachelor’s degree in Computer Science or a related field, or equivalent practical experience Strong foundation in data structures, algorithms, and distributed system fundamentals 7 to 10 years of hands on experience building enterprise applications using Java, Spring Framework, REST based services, and batch processing frameworks such as Spring Batch Working experience with GenAI solutions, including LLM consumption, prompt design, retrieval augmented generation workflows, and embeddings Experience using managed LLM platforms such as Azure OpenAI or equivalent enterprise offerings Solid experience with relational databases, including Oracle SQL, PL SQL, data modeling, and query performance tuning Experience working in Agile delivery models such as Scrum or SAFe, with exposure to TDD or BDD practices Practical DevOps experience including CI CD pipelines, basic automation, logging, monitoring, and production support Experience operating and troubleshooting applications on Linux or UNIX environments Proven experience building reliable, scalable services within a larger distributed ecosystem Experience contributing to modernization initiatives of legacy systems Strong understanding of software design principles such as SOLID, separation of concerns, and clean code Good communication skills, able to clearly explain technical designs and tradeoffs within the team Exposure to cloud native platforms such as PCF, OpenShift, Azure, or similar environments is a plus Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard ... (truncated, view full listing at source)