Lead Software Engineer

Skills this role screens for

About the role

Mastercard is hiring for the role of Lead Software Engineer!

The work

Responsibilities of the Candidate

• Lead complex software engineering initiatives with significant business impact.
• Define and execute technology strategy, architecture roadmaps, and modernization programs.
• Design, develop, and deliver scalable, high-performance, cloud-native applications and APIs.
• Drive decomposition of monolithic platforms into reusable microservices and domain-driven architectures.
• Partner with Product Managers, TPMs, Architects, and Engineering teams to translate business requirements into technical solutions.
• Evaluate emerging technologies, AI capabilities, and third-party platforms to improve business outcomes and engineering efficiency.
• Develop Proofs of Concept (POCs) and validate new architectural approaches.
• Champion engineering excellence through code reviews, design reviews, automated testing, and continuous improvement.
• Drive adoption of AI-powered development tools and practices to improve developer productivity, code quality, testing efficiency, documentation, and operational excellence.
• Mentor engineers, foster technical growth, and promote a culture of innovation and continuous learning.
• Communicate architecture decisions, risks, trade-offs, and technical strategies effectively to leadership and stakeholders.
• Ensure adherence to security, compliance, quality, reliability, and software development standards.

Who they want

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
• Extensive experience designing, developing, and leading enterprise-scale software platforms.
• Strong expertise in Java, Spring Boot, REST APIs, Microservices, PostgreSQL, and distributed systems.
• Experience building secure, resilient, high-availability applications in cloud environments.
• Proven ability to architect and deliver mission-critical systems at scale.
• Experience integrating external APIs, payment platforms, SaaS products, and third-party services.
• Strong understanding of software architecture patterns, domain-driven design, event-driven architectures, and API-first development.
• Hands-on experience with Agile, DevSecOps, CI/CD, infrastructure automation, and cloud-native engineering practices.
• Experience leveraging AI-assisted development tools such as GitHub Copilot, AI coding assistants, intelligent code generation, automated testing, and developer productivity platforms.
• Demonstrated ability to learn, evaluate, and adopt emerging technologies, frameworks, and AI innovations.
• Strong leadership, communication, collaboration, and stakeholder management skills.