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Mastercard is seeking a Lead Software Engineer (Java Full Stack) to design scalable architectures for Payment Reconciliation Intelligence within the B&MI group. You will lead development for global B2B users, setting design standards and driving advanced analytics solutions.
The role requires deep Java expertise, microservices architecture, cloud experience, and strong collaboration with cross-functional teams. You’ll mentor engineers and advance AI-enabled workflows in a fast-paced environment.
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.
Lead Software Engineer (Java Full stack developer)
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. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Mastercard's Business & Market Insights (B&MI) group empowers organizations to achieve growth & innovation goals by providing unparalleled data-driven insights and advanced analytics. By leveraging proprietary data and global expertise, B&MI helps businesses make smarter, more informed decisions that drive profitability and success. We turn complex data into actionable strategies that lead to better outcomes and sustained competitive advantage.
We are currently looking for a 'Lead SDE' for Payment Reconciliation Intelligence Program, within B&MI group, to design scalable architecture and lead development of the new business requirements for product used by global B2B customers.
Bachelor's or Master's degree in Information Technology, Computer Science, Engineering, or a related discipline. Strong verbal and written communication skills with the ability to collaborate effectively across multiple organizational levels. Around 9 years of work experience in the software engineering role.
Strong proficiency in Java 17+, Spring Boot, Spring Framework, Hibernate, and modern database technologies including Oracle, SQL Server, PostgreSQL, Redis, MongoDB, and Elasticsearch. Proven experience designing, developing, and leading applications built on microservices-based architectures. Hands-on experience with messaging and event-driven platforms such as Kafka, RabbitMQ, AWS SQS, or other cloud-native messaging solutions. Front-end development experience using React JS (16+) or Angular (14+). Experience designing and developing APIs using OpenAPI specifications and RESTful best practices. Strong working knowledge of HTML, JavaScript, Node.js, UNIX shell scripting, Python, and Groovy scripting. Understanding of modern application security, scalability, resiliency, and performance engineering practices.
Proficiency with build and dependency management tools such as Maven and Gradle. Experience with automation and configuration management tools including Chef and Ansible. Hands-on experience with Jenkins, SonarQube, CI/CD pipelines, and Agile software development methodologies. Strong understanding of release management practices including Canary, Blue-Green, and Rolling deployments.
Extensive experience with public cloud platforms (AWS, Azure, or GCP) and cloud-native application development. Strong expertise in containerization and orchestration technologies including Docker, Kubernetes, and OpenShift. Deep understanding of DevOps practices, infrastructure automation, deployment strategies, and operational excellence in cloud environments. Exposure to monitoring and observability tools such as Splunk, ELK Stack, and related logging platforms.
Exposure to Generative AI and Large Language Model (LLM) based solutions, including integrating AI services through APIs and leveraging AI-assisted development tools such as GitHub Copilot and enterprise AI platforms. Familiarity with AI-driven application patterns such as Retrieval-Augmented Generation (RAG), intelligent workflows, agentic solutions, and prompt engineering concepts for enterprise applications.
Experience working across multiple programming languages such as Java, Scala, C#, and Python. Familiarity with workflow orchestration and automation platforms including Netflix Conductor, Apache Airflow, Camunda, and N8N. Knowledge of OpenTelemetry and distributed tracing concepts. Familiarity with business rules engines such as Drools and EasyRules. Strong understanding of cryptographic concepts including PKI infrastructure, hashing, encryption, consensus algorithms, and virtual machine architectures. Experience with Infrastructure as Code (IaC) and infrastructure automation frameworks.
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.