Lead Software Engineer
Full-time
Mastercard
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
Mastercard is seeking a Lead Software Engineer with strong expertise in system design, distributed systems, and platform architecture. You will lead the design and delivery of scalable, resilient applications powering transaction processing, analytics, APIs, and modern user experiences.
This role combines technical, architecture ownership, and hands-on execution, with a focus on mentoring teams and driving engineering standards across the stack. Role & Responsibilities
Architecture & Platform Engineering
• Lead architecture and system design for large-scale distributed cloud platforms with focus on scalability, resiliency, and security
• Design and evolve microservices, APIs, and event-driven architectures
• Translate business requirements into robust platform solutions and technical strategy
• Own non-functional requirements including performance, reliability, fault tolerance, and observability
• Drive adoption of cloud-native patterns, 12-factor principles, and domain-driven design
Full-Stack & Engineering Excellence
• Build and evolve high-performance full-stack applications using Java, Angular, and cloud platforms (PCF/Kubernetes)
• Establish and enforce engineering standards for code quality, security, and performance
• Lead design reviews, code reviews, and architecture governance
• Drive CI/CD, DevSecOps, and automation practices
UI / Front-End Leadership
• Lead development of modern Angular-based architectures using component-driven and micro-frontend patterns
• Define and Build reusable UI components and scalable design systems
• Optimize applications for performance, latency, and cross-platform compatibility
AI & Intelligent Systems
• Architect and integrate AI-powered capabilities (e.g., recommendations, anomaly detection, predictive insights)
• Drive adoption of AI-assisted development tools to enhance productivity
• Ensure responsible AI practices including governance, explainability, and compliance
Collaboration
• Provide technical mentorship, elevating engineering capabilities across teams
• Influence technology strategy, frameworks, and platform evolution
• Collaborate with product, architecture, and BizOps teams to align on roadmap and delivery
• Ensure compliance with Mastercard engineering, security, and enterprise standards All About You
Technical Expertise
• Strong foundation in computer science fundamentals, algorithms, and system design
• Proven experience building large-scale distributed systems and microservices architectures
• Deep expertise in Java (Spring Boot) and backend engineering
• Strong understanding of API design, event-driven systems, and messaging frameworks
• Experience with cloud platforms (PCF, Kubernetes)
• Solid knowledge of relational databases (Oracle) and data modeling at scale
• Expertise in performance engineering, resiliency, and scalability patterns
• Hands-on experience with CI/CD, Git, automated testing, and release pipelines
• Experience with observability, monitoring, and production support
UI / Angular Expertise
• Deep expertise in Angular, TypeScript, and state management (NgRx)
• Experience with micro-frontends and component-driven architectures
• Strong understanding of performance optimization, lazy loading, and rendering strategies
• Familiarity with UI testing frameworks (Cypress)
• Strong focus on usability, accessibility, and intuitive design
AI & Modern Engineering
• Experience integrating AI/ML models via APIs or enterprise workflows
• Familiarity with GenAI/LLMs and AI-driven product capabilities
• Understanding of data pipelines and model deployment patterns
• Ability to apply AI to enhance user experience and operational efficiency Corporate Security Responsibility
Lead Software Engineer
Join us in unlocking infinite opportunity in Mastercard’s Commercial Solutions organization.
In Commercial Solutions, we empower businesses with innovative, trusted payment solutions that deliver seamless, digital-first experiences globally. We are transforming the industry by building world-class travel and B2B platforms for corporate clients.
As a key leader in our digital transformation journey, you will shape next-generation financial platforms—driving architecture, scalability, and engineering excellence to deliver secure, cloud, enterprise-scale solutions.
Mastercard is seeking a Lead Software Engineer with strong expertise in system design, distributed systems, and platform architecture. You will lead the design and delivery of scalable, resilient applications powering transaction processing, analytics, APIs, and modern user experiences.
This role combines technical, architecture ownership, and hands-on execution, with a focus on mentoring teams and driving engineering standards across the stack. Role & Responsibilities
Architecture & Platform Engineering
• Lead architecture and system design for large-scale distributed cloud platforms with focus on scalability, resiliency, and security
• Design and evolve microservices, APIs, and event-driven architectures
• Translate business requirements into robust platform solutions and technical strategy
• Own non-functional requirements including performance, reliability, fault tolerance, and observability
• Drive adoption of cloud-native patterns, 12-factor principles, and domain-driven design
Full-Stack & Engineering Excellence
• Build and evolve high-performance full-stack applications using Java, Angular, and cloud platforms (PCF/Kubernetes)
• Establish and enforce engineering standards for code quality, security, and performance
• Lead design reviews, code reviews, and architecture governance
• Drive CI/CD, DevSecOps, and automation practices
UI / Front-End Leadership
• Lead development of modern Angular-based architectures using component-driven and micro-frontend patterns
• Define and Build reusable UI components and scalable design systems
• Optimize applications for performance, latency, and cross-platform compatibility
AI & Intelligent Systems
• Architect and integrate AI-powered capabilities (e.g., recommendations, anomaly detection, predictive insights)
• Drive adoption of AI-assisted development tools to enhance productivity
• Ensure responsible AI practices including governance, explainability, and compliance
Collaboration
• Provide technical mentorship, elevating engineering capabilities across teams
• Influence technology strategy, frameworks, and platform evolution
• Collaborate with product, architecture, and BizOps teams to align on roadmap and delivery
• Ensure compliance with Mastercard engineering, security, and enterprise standards All About You
Technical Expertise
• Strong foundation in computer science fundamentals, algorithms, and system design
• Proven experience building large-scale distributed systems and microservices architectures
• Deep expertise in Java (Spring Boot) and backend engineering
• Strong understanding of API design, event-driven systems, and messaging frameworks
• Experience with cloud platforms (PCF, Kubernetes)
• Solid knowledge of relational databases (Oracle) and data modeling at scale
• Expertise in performance engineering, resiliency, and scalability patterns
• Hands-on experience with CI/CD, Git, automated testing, and release pipelines
• Experience with observability, monitoring, and production support
UI / Angular Expertise
• Deep expertise in Angular, TypeScript, and state management (NgRx)
• Experience with micro-frontends and component-driven architectures
• Strong understanding of performance optimization, lazy loading, and rendering strategies
• Familiarity with UI testing frameworks (Cypress)
• Strong focus on usability, accessibility, and intuitive design
AI & Modern Engineering
• Experience integrating AI/ML models via APIs or enterprise workflows
• Familiarity with GenAI/LLMs and AI-driven product capabilities
• Understanding of data pipelines and model deployment patterns
• Ability to apply AI to enhance user experience and operational efficiency Corporate Security Responsibility
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.
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