Lead AI-Driven Software Engineer

Mastercard Inc.

Dublin

On-site

EUR 120,000 - 180,000

Full time

13 hours ago
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Job summary

Mastercard is seeking a Lead Software Engineer to drive the design and delivery of innovative AI-enabled solutions for global customers. You will lead architectural decisions, champion automation, and collaborate with engineering, data, product, and operations teams across regions to deliver scalable, secure systems.

The role emphasizes leveraging the latest AI models, modern web technologies, and robust security practices in an Agile environment with distributed teams.

Qualifications

  • Proven experience with Java or Python and OO design principles.
  • Experience leveraging AI models, tools, and technologies to improve software delivery.
  • Experience with modern web technologies (React, Node.js, NPM, Webpack, Jest) is advantageous.
  • Strong architecture, security, and scalable design capabilities.
  • Proven ability to work in Agile environments with globally distributed teams.

Responsibilities

  • Lead the planning, design, and delivery of innovative technical solutions for global internal and external customers.
  • Drive innovation and research initiatives from concept through production, leveraging AI to accelerate value.
  • Design and implement scalable, secure architectures aligned with enterprise standards.
  • Champion automation across the software delivery lifecycle, including build, deployment, monitoring, and operations.
  • Collaborate with global engineering, data, product, and operations teams to deliver strategic initiatives.
  • Serve as SME for Emerging Data Signals, providing technical leadership for customer integrations.

Skills

Java/Python
AI models usage
Agile delivery
API security
Problem solving
Collaboration

Tools

React
Node.js
NPM
Webpack
Jest

Job description

Mastercard is seeking a Lead Software Engineer to drive the design and delivery of innovative AI-enabled solutions for global customers. You will lead architectural decisions, champion automation, and collaborate with engineering, data, product, and operations teams across regions to deliver scalable, secure systems.

The role emphasizes leveraging the latest AI models, modern web technologies, and robust security practices in an Agile environment with distributed teams.

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