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Salary
$55k – $108k per year (Estimated)
Location
In office (Lisbon)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 23, 2026. First seen by Alion on Sep 23, 2026. Mastercard scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mastercard is an American payments technology company whose origins date to 1966, when a group of banks formed the Interbank Card Association to compete with BankAmericard. Like its main rival it does not issue cards or extend credit; it operates the network that authorises, clears and settles transactions between issuing banks, acquirers and merchants in more than two hundred countries. Headquartered in Purchase, New York, the company has built a large services business alongside the core network, covering fraud and identity products through its Ethoca and RiskRecon acquisitions, open banking, consulting and loyalty programmes.

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

Senior Software EngineerOverview

Interested in building the next generation platform that empowers end-to-end marketing campaign management inclusive of audience targeting, campaign execution, and measurement? Our platforms operate at global scale, enabling organizations across markets worldwide to leverage data-driven marketing capabilities. The overarching goal of data-driven marketing is to deliver the right content, to the right person, at the right time.

The Marketing Services (MS) Technology team is looking for a Senior Software Development Engineer to provide technical ownership, with an emphasis on engineering efficiency, innovation, and on-time delivery.

The ideal candidate is passionate about building highly scalable, cloud-native platforms using modern software engineering and data technologies. You will have the opportunity to work across technologies including Java, Spring Boot, React, GraphQL, Databricks, AWS, Spark, Hadoop, event-driven architectures, and real-time data platforms.

Our teams leverage GenAI and Agentic AI capabilities throughout the product development lifecycle to accelerate delivery, improve quality, enhance automation, and increase engineering productivity. This role offers an opportunity to help shape Mastercard's ongoing cloud transformation journey while transforming the way we automate, optimise, and innovate the digital marketing lifecycle.

Role

In this role, you will:

  • Design & Develop REST APIs and web services using Java, Spring Boot, and modern cloud-native technologies.
  • Be responsible for assessing technologies and approaches for integrating backend data services with user interfaces.
  • Work closely with team members from across Mastercard to identify functional and system requirements.
  • Build scalable, resilient, and high-performing platform capabilities supporting global marketing solutions.
  • Contribute to engineering excellence through automation, testing, observability, and AI-assisted development practices.
  • Leverage GenAI-powered tools and workflows to improve software quality, delivery velocity, and developer productivity.

All About You

The ideal candidate for this position is expected to:

  • Have hands-on knowledge of Java, Spring Boot, and distributed service architectures (REST APIs).
  • Be familiar with modern web development technologies including React and/or Angular, NodeJS, GraphQL, etc.
  • Have an understanding of Domain Driven Design (DDD) and Event Driven Design (EDD).
  • Build automated quality frameworks based on JUnit and Mockito and have a solid understanding of BDD testing frameworks.
  • Have exposure to cloud-native technologies and services on AWS.
  • Be familiar with modern data platforms and technologies such as Databricks, Spark, Hadoop, or similar large-scale data processing frameworks.
  • Have experience leveraging GenAI and AI-assisted development tools to improve engineering productivity and software quality.
  • Have excellent oral and written communication skills.
  • Be familiar with Agile/Scrum methodologies.
  • Have demonstrated ability to adapt to new technologies and learn quickly.
  • Be strong, confident, and able to communicate solutions and architecture effectively to a wide variety of stakeholders.
  • Have a passion for cloud transformation, platform modernisation, and continuous improvement.

• Last but not least, have a bias for action.

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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