MastercardSenior Software Engineer
AI in this role
Senior software engineer responsible for building scalable microservices and utilizing AI-assisted development tools to improve productivity and code quality.
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 EngineerRole Overview:We are looking for a Senior Software Engineer who thrives in building highly scalable, resilient, and cloud-native distributed systems.
The ideal candidate combines deep expertise in Java and modern backend technologies with a strong understanding of event-driven architectures, cloud platforms, containerisation, and emerging AI-driven software development practices. The role requires both strong technical execution and the ability to influence engineering excellence across the team.
What You'll Do
• Design, develop, test, and support enterprise-grade microservices using Java and Spring Boot.
• Build highly scalable and resilient APIs and backend services.
• Design and implement event-driven solutions using Kafka.
• Develop cloud-native applications deployed on PCF and containerised environments.
• Contribute to architecture discussions and technical design reviews.
• Drive software quality through automated testing, code reviews, and engineering best practices.
• Collaborate with cross-functional teams to deliver secure and reliable payment solutions.
• Leverage AI-assisted development tools and agentic coding practices to improve productivity, code quality, testing, and documentation.
• Diagnose and resolve complex production issues with a focus on reliability and operational excellence.
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Required Skills
Core Engineering
• Strong proficiency in Java (8+ years preferred).
• Expert knowledge of:
o Spring Boot
o Spring Framework
o RESTful Services
o JPA/Hibernate
o Multithreading and Concurrent Programming
• Strong understanding of Object-Oriented Design and Design Patterns.
Event-Driven Systems
• Hands-on experience with Kafka.
• Experience building asynchronous and event-driven architectures.
• Understanding of reliability patterns such as:
o Outbox Pattern
o Retry Mechanisms
o Idempotency
o Dead Letter Queues
Cloud & Platform Engineering
• Experience with PCF (Pivotal Cloud Foundry).
• Strong Docker expertise.
• Experience developing cloud-native applications.
• Familiarity with container orchestration platforms such as Kubernetes/OpenShift.
• Understanding of CI/CD and DevOps practices.
Databases
• Strong SQL skills.
• Experience with Oracle, PostgreSQL, or similar relational databases.
• Understanding of performance tuning and query optimisation.
Quality & Security
• Test-driven development practices.
• Unit, Integration, and API Testing.
• Secure coding practices.
• API security using OAuth2, OIDC, and JWT.
Agentic & AI-Powered Engineering
• Hands-on use of:
o GitHub Copilot
o AI-assisted code generation
o AI-driven testing and debugging
o Agentic software development workflows
• Ability to effectively leverage AI tools while maintaining engineering quality and security standards.
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Preferred Qualifications
• Experience in Payments, Financial Services, or FinTech.
• Experience with high-volume, transaction-processing systems.
• Knowledge of event sourcing, CQRS, or domain-driven design.
• Experience with Splunk, Dynatrace, or observability platforms.
• Experience mentoring junior engineers.
• Demonstrated use of GenAI tools to improve engineering productivity and delivery outcomes.
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 42 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 backend 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 distributed systems 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: Backend Development, Microservices, Distributed Systems, 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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