Senior Software Engineer
AI in this role
Drive the design and delivery of innovative global data solutions leveraging cutting-edge AI models and emerging technologies.
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* Mastercard Emerging Data Signals is a global product within Mastercard responsible for the delivery of new Innovative solutions by applying the latest AI models and technologies to develop optimized solutions that accelerate business value and operational efficiency.
Role
* 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 the latest AI models and emerging technologies to deliver optimized solutions that accelerate business value and operational efficiency.
* Design and implement scalable, secure, and resilient technology architectures that align with enterprise standards and strategic objectives.
* Champion automation across the software delivery lifecycle, including build, deployment, configuration, validation, monitoring, and operational support.
* Collaborate closely with global engineering, data, product, and operations teams to successfully execute strategic initiatives and deliver business outcomes.
* Serve as a Subject Matter Expert (SME) for Emerging Data Signals (EDS), providing technical leadership and guidance to support customer integrations and solution adoption.
* Evaluate and incorporate emerging technologies, AI capabilities, and industry best practices to continuously improve platform performance, reliability, and customer experience.
All About You
* Strong Java or Python development expertise with a deep understanding of object-oriented design principles, software architecture, and engineering best practices.
* Demonstrated experience leveraging the latest AI models, tools, and technologies to enhance software development, accelerate delivery, and improve solution quality.
* Experience with one of the modern web technologies, including React, Node.js, NPM, Webpack, or Jest, is advantageous.
* Passion for technical architecture and solution design, ensuring systems are scalable, secure, maintainable, performant, and adaptable to future business needs.
* Proven experience working in Agile environments with globally distributed teams, delivering high-quality software through frequent production releases and continuous deployment practices.
* Knowledge of API design, integration patterns, and security models, including authentication, authorization, and data protection standards, is highly desirable.
* Strong problem-solving and analytical skills with the ability to balance innovation, technical excellence, and business outcomes.
* Excellent collaboration and communication skills, enabling effective engagement with engineering, product, operations, and customer stakeholders across multiple regions.
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.
How we rate this
Senior Software Engineer at Mastercard rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where software architecture was part of your work. What did you do?
- Tell me about a project where ai models was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where system design was part of your work. What did you do?
- Tell me about a project where technical leadership was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Architecture, AI Models, Automation, System Design, and Technical Leadership. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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