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From the employer's careers site First seen 8 Nov 2026

Lead Software Engineer - Java Spring Boot, Kafka and Event-Driven Architecture

Mastercard Pune, India senior full-time

The employer hasn't listed a salary.

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Description

Mastercard is seeking a Lead Software Engineer to design, build, and support secure, scalable, and highly available payment-network solutions using Java, Spring Boot, Kafka, event-driven architecture, and cloud-native engineering practices.

Responsibilities

  • Design, develop, test, deploy, and support software services based on technical and functional requirements.
  • Build Java and Spring Boot microservices, REST APIs, and Kafka-based event-driven integrations.
  • Apply object-oriented design, SOLID principles, reusable patterns, and secure coding practices.
  • Create unit, component, integration, and regression tests and participate in peer reviews.
  • Troubleshoot application, data, messaging, performance, and production issues.
  • Contribute to CI/CD, observability, operational readiness, resiliency, and automation.
  • Collaborate with product, architecture, testing, operations, and dependent engineering teams.
  • Provide technical or product leadership, mentor team members, and drive decisions across multiple workstreams.

Essential Skills

  • Hands-on Java and Spring Boot development experience.
  • Experience with microservices, REST APIs, Kafka or similar messaging platforms, and event-driven architecture.
  • Knowledge of SQL or NoSQL databases, Git, automated testing, CI/CD, containers, and cloud-native platforms.
  • Understanding of secure, scalable, resilient, and observable software design.
  • Bachelor's degree in computer science, information technology, engineering, or a related discipline, or equivalent practical experience.

All About You

  • Experience working in Agile delivery environments and across the software development lifecycle.
  • Clear communication, collaboration, problem-solving, and stakeholder-management skills.
  • Ability to work with globally distributed product, engineering, architecture, operations, and business teams.
  • Hands-on experience using AI-assisted engineering tools, including GitHub Copilot and Claude CLI, to improve engineering efficiency is required.
  • Payments or financial-services domain knowledge is preferred.

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Skills

Required

Nice to have

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