Senior Software Engineer

Overview

The Fraud Products team develops fraud prevention and identity verification solutions on Mastercard's Decision Management Platform. Our high-performance Java platform processes billions of transactions each month, delivering the scale, speed, and reliability that power Mastercard's global payments network.

Role

• Design, develop, and support scalable, high-performance applications.
• Build secure, reliable, and maintainable solutions for complex business challenges.
• Participate in Agile development, design reviews, code reviews, and security reviews.
• Troubleshoot production issues and optimize applications for performance and reliability.
• Drive engineering best practices, automation, and continuous improvement.
• Collaborate with global teams to deliver software at scale.

Required Technical Skills

• Core Java (including multithreading)
• Java/J2EE
• Spring Framework / Spring Boot
• Distributed Systems & Distributed Computing at Scale
• Kubernetes, Cloud Foundry
• Linux & Shell Scripting
• Oracle, PL/SQL, Advanced SQL
• Software Design & Architecture
• Secure Coding Practices
• Unit, Functional & Integration Testing
• Performance Engineering
• Code Reviews & Troubleshooting
• IntelliJ or JBoss Developer Studio

Qualifications

• Strong experience with Java/J2EE, Spring Boot, and distributed systems.
• Experience building and supporting high-performance, highly available applications.
• Strong understanding of software design, architecture, data structures, secure coding, and testing practices.
• Experience troubleshooting production issues and improving system performance, scalability, and reliability.
• Experience with code reviews, operational excellence, and production support.
• Hands-on experience with Kubernetes, Cloud Foundry, Linux, Shell Scripting, Oracle/PLSQL, and SQL.
• Experience working in Agile development environments.
• Bachelor's degree in Computer Science or related field, or equivalent experience.

Desirable Skills

• Experience with distributed computing platforms and in-memory data grid technologies at scale, such as: GemFire, Apache Spark, Distributed Redis, Hazelcast, GridGain / Apache Ignite
• MQ/JMS messaging technologies
• Solaris/UNIX or Red Hat Linux
• Experience integrating vendor and open-source solutions into enterprise platforms

Pay

O'Fallon, Missouri: $115,000 - $184,000 USD