MastercardSenior Software Engineer
AI in this role
Design and develop scalable full-stack enterprise applications using Java, Spring Boot, and Angular while utilizing AI-assisted development tools.
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’s Commercial Customer Experience team is seeking a Senior Software Engineer to help design, develop, and deliver scalable, secure, and high-performing software solutions that power critical customer experiences and business capabilities.
This is a hands-on full-stack engineering role with a strong focus on backend development using Java and Spring Boot, while also contributing to modern web applications built with Angular. The ideal candidate will have experience building enterprise-scale applications, microservices, REST APIs, and event-driven systems using streaming technologies such as Apache Kafka. You will play a key role in developing cloud-native solutions, driving engineering excellence, and delivering resilient, customer-focused products in a collaborative Agile environment.
You will work from Mastercard's technology hub in a collaborative, Agile environment alongside talented engineers, product managers, technical program managers, and test engineers.
This is a hybrid role based in Arlington, VA, requiring three days per week onsite.
Role:
• Design, develop, and evolve secure, scalable Java/Spring Boot microservices and APIs.
• Build and maintain full-stack applications, contributing to both Angular-based user interfaces and Java/Spring Boot backend services.
• Design and implement event-driven architectures using Apache Kafka or similar streaming and messaging technologies.
• Translate business and product requirements into reliable, maintainable technical solutions, contributing to system architecture and technical design.
• Build and integrate services across Angular applications, databases, internal platforms, and third-party systems, including efficient SQL and database solutions for high-volume workloads.
• Apply AI-assisted development tools to accelerate coding, testing, debugging, documentation, code reviews, and software quality improvements with appropriate human oversight.
• Develop solutions that meet Mastercard standards for security, performance, scalability, reliability, and operational excellence, applying enterprise security patterns such as authentication, authorization, encryption, and secrets management.
• Apply 12-factor application principles, cloud-native practices, and Mastercard engineering governance throughout the development lifecycle.
• Participate in code reviews, pull requests, retrospectives, and technical discussions, contributing to high-quality engineering practices and continuous improvement.
• Collaborate with Software Engineers, Test Engineers, Product Managers, Technical Program Managers, and other stakeholders to deliver customer-focused solutions.
• Troubleshoot complex production and performance issues, improve system reliability, and mentor engineers by sharing technical knowledge and best practices.
All About You:
• Proven experience developing enterprise-scale software applications as a Software Engineer, Senior Software Engineer, or Full-Stack Engineer.
• Extensive experience developing enterprise applications using Core Java, Spring Framework, Spring Boot, RESTful APIs, and microservices.
• Strong full-stack development experience, including modern UI development with Angular and backend development with Java and Spring technologies.
• Hands-on experience with Apache Kafka or equivalent messaging and event-streaming technologies.
• Strong understanding of microservice architecture, distributed systems, API design, event-driven systems, and cloud-native development practices.
• Strong understanding of cloud architecture principles, including scalability, resiliency, reliability, and high availability.
• Broad understanding of software engineering concepts and methodologies, including object-oriented design, design patterns, data structures, algorithms, and system design.
• Experience using AI-assisted development tools to improve productivity and software quality across coding, refactoring, testing, debugging, documentation, and delivery.
• Strong SQL and database development skills with technologies such as PostgreSQL or Oracle, including experience designing and optimizing solutions for high-volume transactional systems.
• • Experience diagnosing and improving application performance, scalability, reliability, and resiliency in production environments.
• Understanding of software engineering best practices including automated testing, CI/CD, Git-based development, code reviews, observability, and operational readiness.
• Ability to translate complex product and business requirements into secure, testable, maintainable, and supportable technical solutions.
• Demonstrated ability to operate effectively in an Agile engineering environment, contributing to continuous improvement and collaborative technical decision-making.
• Ability to work independently, manage competing priorities, and make thoughtful technical decisions with minimal supervision.
• Strong communication and collaboration skills, with the ability to explain technical concepts and influence decisions across technical and non-technical audiences.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
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.
Pay Ranges
Arlington, Virginia: $132,000 - $212,000 USDHow we rate this
Senior Software Engineer at Mastercard rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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
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Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where full stack development was part of your work. What did you do?
- Tell me about a project where microservices was part of your work. What did you do?
- Tell me about a project where rest apis was part of your work. What did you do?
- Tell me about a project where event driven architecture was part of your work. What did you do?
- Tell me about a project where ai assisted development was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Full Stack Development, Microservices, Rest Apis, Event Driven Architecture, and AI Assisted Development. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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