Lead Software Engineer-2

Skills this role screens for

About the role

Mastercard is hiring for the role of Lead Software Engineer-2!

The work

Responsibilities of the Candidate

• Responsible for the analysis, design, and development of software solutions
• Contribute to the requirements for new applications and customizations, adhering to standards, processes, and best practices
• Ensure quality of one or more application codebases and alignment with development standards
• Applies technical capabilities within own discipline to coach and develop junior employees
• Designs highly complex applications, interfaces and integrations
• Integrates at an enterprise level using third-party middleware or messaging products, or by designing and implementing custom interfaces and mapping for those interfaces
• Responsible for performance engineering of the enterprise software architecture, and providing functional guidance, advice, and/or training to other application developers
• Software development, code reviews and day-to-day support duties
• Group-wide and external public speaking and other communications conveying domain level directions
• Researching and evaluating tools to support domain-specific needs

Who they want

Requirements

• Hands-on experience with AI-assisted tools such as Claude Code, GitHub Copilot, and Codex for requirements analysis, solution design, code generation, review, documentation, test automation, and troubleshooting.
• Ability to configure reusable AI workflows using AGENTS.md, custom skills, sub-agents, prompt patterns, context management, and project-specific instructions.
• Knowledge of agentic workflows, including multi-agent orchestration, tool integration, human-in-the-loop controls, LLM evaluation, guardrails, and responsible AI practices.
• Ability to validate AI-generated outputs for correctness, security, quality, maintainability, compliance, and production readiness.
• Experience integrating AI workflows into Git-based development, automated quality gates, CI/CD pipelines, observability, and cloud-native deployment.
• Proficiency with Java JDK 17 or greater.
• Knowledge of Tomcat, Spring, Spring Boot, Shell Scripting, JSON.
• Experience with Docker, Kubernetes or other container orchestration solutions.
• Expertise in Junit or other automated unit testing frameworks.
• Knowledge of CI/CD principles and tools such as Jenkins, Gradle, Maven.
• Knowledge of Source Control Management and working with code in a multi-developer
• Experience with a UI framework such as Angular a plus