Overview

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.

Mastercard's Business & Market Insights (B&MI) group empowers organizations to achieve growth and 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 are looking for a Lead Software Engineer for the Payment Reconciliation Intelligence Program within the B&MI group, to design scalable architecture and lead development of new business requirements for a product used by global B2B customers.

Role and Responsibilities

• •Design, develop, and lead full-stack Java scalable applications with React or Angular as the frontend.
• •Act as the senior-most engineer in the team to determine design choices and technical standards such as platforms and coding standards.
• •Design and implement software aligned with Mastercard's Enterprise Architecture and services.
• •Write high-quality, maintainable code that meets business needs and adheres to timelines.
• •Collaborate with cross-functional teams including Product teams to understand requirements, define products, identify solutions, propose ideas, and provide technical thought leadership.
• •Provide detailed cost and time estimates, define technical scope and requirements, and assist project managers in managing scope throughout the project lifecycle.
• •Ensure system design supports zero downtime in production.
• •Address operational and business concerns to ensure consistent delivery of quality services.
• •Lead a highly focused team of engineers with an eye on innovation and AI adoption.

Technical Expertise

• •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.

Tools and Methodologies

• •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.

Infrastructure and Cloud

• •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.

AI and Emerging Technologies

• •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.

Good to Have Skills

• •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.

Education and Experience

• •Bachelor's or Master's degree in Information Technology, Computer Science, Engineering, or a related discipline.
• •Around 9 years of work experience in a software engineering role.
• •Strong verbal and written communication skills with the ability to collaborate effectively across multiple organizational levels.